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acl:2017.clicit-1.0 | null | Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017) | 2,017 | 2017/12 | ["ConferencePaper"] | null | acl_other | [{"name": "Roberto Basili", "id": null, "affiliations": []}, {"name": "Malvina Nissim", "id": null, "affiliations": []}, {"name": "Giorgio Satta", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Roberto Basili, Malvina Nissim, Giorgio Satta. Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017). 2017. | A1 | {"ACL": "2017.clicit-1.0"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.2 | null | Searching for General Models that Learn Compositionally | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Marco Baroni", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | For all their impressive results, current machine learning algorithms are only able to solve one problem at a time, and they can't generalize even across closely related tasks: A system trained on chess will have to learn to play checkers from scratch. One reasonable hypothesis for the difference between algorithms and... | A1 | {"ACL": "2017.clicit-1.2", "S2": "dcd145d35feeef7fc11a3d2bfe5080f8a56db261", "CorpusId": 284075000} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.3 | null | Doing Stuff with Long Short Term Memory networks | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Yoav Goldberg", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | While deep learning methods in Natural Language Processing are arguably overhyped, recurrent neural networks (RNNs), and in particular LSTM networks, emerge as very capable learners for sequential data. Thus, my group started using them everywhere. After briefly explaining what they are and why they are cool, I will de... | A1 | {"ACL": "2017.clicit-1.3", "S2": "60b26969753f458c4e3e27ea4d28882f6e08d1bf", "CorpusId": 284074998} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.4 | null | Computational Sociolinguistics - An Emerging Partnership | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Rada Mihalcea", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Computational linguistics has come a long way, with many exciting achievements along several research directions, ranging from morphology and syntax to semantics and pragmatics. Simulta- neously, there has been a tremendous growth in the amount of social media data available on web sites such as Blogger, Twitter, or Fa... | A1 | {"ACL": "2017.clicit-1.4", "S2": "bd752a14ae35f3efc2ae6a2618014cb4821a9d8d", "CorpusId": 284075001} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.5 | 10.4000/books.aaccademia.2318 | I Verbi Neologici nell'Italiano del Web: Comportamento Sintattico e Selezione dell'Ausiliare | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Matteo Amore", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Italiano. Si e analizzata la selezione dell'ausiliare da parte dei verbi intransitivi, all'interno di un gruppo di neologismi italiani. I verbi studiati sono stati tratti da elenchi di neolo- gismi disponibili online. Si e quindi verificata la loro presenza e il loro comportamento sul corpus itTenTen. Tali verbi hanno ... | A1 | {"ACL": "2017.clicit-1.5", "DOI": "10.4000/books.aaccademia.2318", "S2": "50dadf9e2c6acd80458a5970b40b06449cbc9319"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.6 | 10.4000/books.aaccademia.2320 | Predicting Land Use of Italian Cities using Structural Semantic Models | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Gianni Barlacchi", "id": null, "affiliations": []}, {"name": "Bruno Lepri", "id": null, "affiliations": []}, {"name": "Alessandro Moschitti", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. We propose a hierarchical se- mantic representation of urban areas ex- tracted from a social network to classify the most predominant land use, which is a very common task in urban computing. We encode geo-social data from Location- Based Social Networks with standard fea- ture vectors and a conceptual tree st... | A1 | {"ACL": "2017.clicit-1.6", "DOI": "10.4000/books.aaccademia.2320", "S2": "5a97bedc3d19b8447d0baee4d46f750ab53725d0"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.7 | 10.4000/books.aaccademia.2370 | Predicting Controversial News Using Facebook Reactions | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Angelo Basile", "id": null, "affiliations": []}, {"name": "Tommaso Caselli", "id": null, "affiliations": []}, {"name": "Malvina Nissim", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Different events and their re- ception in different reader communities may give rise to controversy. We pro- pose a distant supervised entropy-based model that uses Facebook reactions as proxies for predicting news controversy. We prove the validity of this approach by running within- and across-source exper- ... | A1 | {"ACL": "2017.clicit-1.7", "DOI": "10.4000/books.aaccademia.2370", "S2": "68f6df16ad7389274d224b0c87ad3cc310172351"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.8 | 10.4000/books.aaccademia.2339 | Bi-directional LSTM-CNNs-CRF for Italian Sequence Labeling | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Pierpaolo Basile", "id": null, "affiliations": []}, {"name": "Giovanni Semeraro", "id": null, "affiliations": []}, {"name": "Pierluigi Cassotti", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper, we propose a Deep Learning architecture for sequence labeling based on a state of the art model that exploits both word- and character- level representations through the combi- nation of bidirectional LSTM, CNN and CRF. We evaluate the proposed method on three Natural Language Processing tasks f... | A1 | {"ACL": "2017.clicit-1.8", "DOI": "10.4000/books.aaccademia.2339", "S2": "25890ac928ef292967aabc7a4ffb89de3c3cd3e4"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.9 | 10.4000/books.aaccademia.2341 | Monitoring Adolescents' Distress using Social Web data as a Source: the InsideOut Project | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Roberto Basili", "id": null, "affiliations": []}, {"name": "Valentina Bellomaria", "id": null, "affiliations": []}, {"name": "Niels Jonas Bugge", "id": null, "affiliations": []}, {"name": "Danilo Croce", "id": null, "affiliations": []}, {"name": "Francesco De Michele", "id": null, "affiliations": []}, {"name... | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. The role of Social Media in the psychological and social development of adolescents and young adults is increas- ingly important as it impacts on the quality of their interpersonal communication dy- namics. The InsideOut project explores the possibility to use Social Web mining methodologies and technologies t... | A1 | {"ACL": "2017.clicit-1.9", "DOI": "10.4000/books.aaccademia.2341", "S2": "79de2511a4e95216b4d72be8097123994dc777bf"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.10 | 10.4000/books.aaccademia.2350 | Gimme the Usual" - How Handling of Pragmatics Improves Chatbots | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Alessia Bianchini", "id": null, "affiliations": []}, {"name": "Francesco Tarasconi", "id": null, "affiliations": []}, {"name": "Raffaella Ventaglio", "id": null, "affiliations": []}, {"name": "Mariafrancesca Guadalupi", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. We provide our view on the components needed for both the develop- ment and further improvement of robust and effective chatbots. We focus on why Pragmatics is important in developing next generation chatbots by bringing a few gen- eralizable examples. We report our current experience on the design and impleme... | A1 | {"ACL": "2017.clicit-1.10", "DOI": "10.4000/books.aaccademia.2350", "S2": "3df84cae0ae6063e3806bd650fbf253554b4b261"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.11 | 10.4000/books.aaccademia.2355 | Deep-learning the Ropes: Modeling Idiomaticity with Neural Networks | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Yuri Bizzoni", "id": null, "affiliations": []}, {"name": "Marco S.G. Senaldi", "id": null, "affiliations": []}, {"name": "Alessandro Lenci", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this work we explore the possibility of training a neural network to classify and rank idiomatic expressions under constraints of data scarcity. We discuss our results comparing them both to other unsupervised models designed to perform idiom detection and to simi- lar supervised classifiers trained to dete... | A1 | {"ACL": "2017.clicit-1.11", "DOI": "10.4000/books.aaccademia.2355", "S2": "2a791d5dcdeb71c026109292e284ae42cb288ea9"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.12 | 10.4000/books.aaccademia.2357 | Neural Sentiment Analysis for a Real-World Application | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Daniele Bonadiman", "id": null, "affiliations": []}, {"name": "Giuseppe Castellucci", "id": null, "affiliations": []}, {"name": "Andrea Favalli", "id": null, "affiliations": []}, {"name": "Raniero Romagnoli", "id": null, "affiliations": []}, {"name": "Alessandro Moschitti", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper, we describe our neural network models for a commercial application on sentiment analysis. Differ- ent from academic work, which is oriented towards complex networks for achieving a marginal improvement, real scenarios re- quire flexible and efficient neural models. The possibility to use the sam... | A1 | {"ACL": "2017.clicit-1.12", "DOI": "10.4000/books.aaccademia.2357", "S2": "9df6ddc701ca636789b66b3627dcc8496cab0290"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.13 | 10.4000/books.aaccademia.2363 | Emo2Val: Inferring Valence Scores from fine-grained Emotion Values | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Alessandro Bondielli", "id": null, "affiliations": []}, {"name": "Lucia C. Passaro", "id": null, "affiliations": []}, {"name": "Alessandro Lenci", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper studies the relation- ship between the valence, one of the psy- cholinguistic variables in the Italian ver- sion of ANEW (Montefinese et al., 2014), and emotive scores calculated by exploit- ing distributional methods (Passaro et al., 2015). We show two methods to infer va- lence from fine grained e... | A1 | {"ACL": "2017.clicit-1.13", "DOI": "10.4000/books.aaccademia.2363", "S2": "3c614959bcccd39fc4b5f83fa306ee5ad8ebca3a"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.14 | 10.4000/books.aaccademia.2360 | Toward a Bilingual Lexical Database on Connectives: Exploiting a German/Italian Parallel Corpus | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Peter Bourgonje", "id": null, "affiliations": []}, {"name": "Yulia Grishina", "id": null, "affiliations": []}, {"name": "Manfred Stede", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. We report on experiments to validate and extend two language-specific connective databases (German and Italian) using a word-aligned corpus. This is a first step toward constructing a bilingual lexi- con on connectives that are connected via their discourse senses. Italiano. Presentiamo una serie di es- perime... | A1 | {"ACL": "2017.clicit-1.14", "DOI": "10.4000/books.aaccademia.2360", "S2": "8d6e7326572cc8d1142402b6361b007019a3afbb"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.15 | 10.4000/books.aaccademia.2364 | Developing a Large Scale FrameNet for Italian: the IFrameNet Experience | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Silvia Brambilla", "id": null, "affiliations": []}, {"name": "Danilo Croce", "id": null, "affiliations": []}, {"name": "Fabio Tamburini", "id": null, "affiliations": []}, {"name": "Roberto Basili", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper presents work in pro-gress for the development of IFrameNet, a large-scale, computationally oriented, lexi-cal resource based on Fillmore's frame se-mantics for Italian. For the development of IFrameNet linguistic analysis, corpus-processing and machine learning techniques are combined in order to s... | A1 | {"ACL": "2017.clicit-1.15", "DOI": "10.4000/books.aaccademia.2364", "S2": "bed2be06c8e8ed80c8be3040ef0e5792ad26f55f"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.16 | 10.4000/books.aaccademia.2366 | -io Nouns through the Ages. Analysing Latin Morphological Productivity with Lemlat | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Marco Budassi", "id": null, "affiliations": []}, {"name": "Eleonora Litta", "id": null, "affiliations": []}, {"name": "Marco Passarotti", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper aims at examining the diachronic distribution of one of the richest classes of nouns in Latin, namely those ending in -io. The work is performed through the combined use of a morpho- logical analyser for Latin (Lemlat), and a database collecting all word forms occur- ring through different periods o... | A1 | {"ACL": "2017.clicit-1.16", "DOI": "10.4000/books.aaccademia.2366", "S2": "9357d1a02d7710b9422616d117bdd991ff4c33cb"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.17 | 10.4000/books.aaccademia.2367 | Gender Stereotypes in Film Language: a Corpus-assisted Analysis | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Lucia Busso", "id": null, "affiliations": []}, {"name": "Gianmarco Vignozzi", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English: The present study concentrates on the representation and the reception of gender stereotypes. The analysis was first carried out on an ad hoc corpus of cult ro- mantic comedies and dramedies of Anglo- American pop contemporary culture and secondly with a perception test. Both the corpus-driven analysis and the... | A1 | {"ACL": "2017.clicit-1.17", "DOI": "10.4000/books.aaccademia.2367", "S2": "2045a17273d1411cf292c02cad7067dfb7c27b74"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.18 | 10.4000/books.aaccademia.2372 | How "Deep" is Learning Word Inflection? | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Franco Alberto Cardillo", "id": null, "affiliations": []}, {"name": "Marcello Ferro", "id": null, "affiliations": []}, {"name": "Claudia Marzi", "id": null, "affiliations": []}, {"name": "Vito Pirrelli", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Machine learning offers two ba- sic strategies for morphology induction: lexical segmentation and surface word re- lation. The first one assumes that words can be segmented into morphemes. Induc- ing a novel inflected form requires iden- tification of morphemic constituents and a strategy for their recombinati... | A1 | {"ACL": "2017.clicit-1.18", "DOI": "10.4000/books.aaccademia.2372", "S2": "223251d14e15e1d27f49d698588320626e67b98f"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.19 | 10.4000/books.aaccademia.2373 | Tree LSTMs for Learning Sentence Representations | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Héctor Cerezo Costas", "id": null, "affiliations": []}, {"name": "Manuela I. Martín-Vicente", "id": null, "affiliations": []}, {"name": "Francisco J. Gonzalez-Castano", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this work we obtain sentence embeddings with a recursive model using dependency graphs as network structure, trained with dictionary definitions. We compare the performance of our recursive Tree-LSTMs against other deep learning models: a recurrent version which consid- ers a sequential connection between s... | A1 | {"ACL": "2017.clicit-1.19", "DOI": "10.4000/books.aaccademia.2373", "S2": "10d16bdbfe43abef1aad1e536613eed1f2493262"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.20 | 10.4000/books.aaccademia.2377 | Irony Detection: from the Twittersphere to the News Space | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Alessandra Cervone", "id": null, "affiliations": []}, {"name": "Evgeny Stepanov", "id": null, "affiliations": []}, {"name": "Fabio Celli", "id": null, "affiliations": []}, {"name": "Giuseppe Riccardi", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Automatic detection of irony is one of the hot topics for sentiment analy- sis, as it changes the polarity of text. Most of the work has been focused on the detec- tion of figurative language in Twitter data due to relative ease of obtaining annotated data, thanks to the use of hashtags to sig- nal irony. Howe... | A1 | {"ACL": "2017.clicit-1.20", "DOI": "10.4000/books.aaccademia.2377", "S2": "6a33dc51d1561ec9b78eaf92fc9baf643c46c26e"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.21 | 10.4000/books.aaccademia.2380 | Phase-based Minimalist Parsing and Complexity in Non-local Dependencies | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Cristiano Chesi", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. A cognitively plausible parsing algorithm should perform like the human parser in critical contexts. Here I propose an adaptation of Earley's parsing algo- rithm, suitable for Phase-based Minimal- ist Grammars (PMG, Chesi 2012), that is able to predict complexity effects in per- formance. Focusing on self-pace... | A1 | {"ACL": "2017.clicit-1.21", "DOI": "10.4000/books.aaccademia.2380", "ArXiv": "1906.00908", "S2": "f5089dedd9a72235170cf67f3483e61e2b559bf8"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.22 | 10.4000/books.aaccademia.2382 | TWITTIRO': a Social Media Corpus with a Multi-layered Annotation for Irony | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Alessandra Teresa Cignarella", "id": null, "affiliations": []}, {"name": "Cristina Bosco", "id": null, "affiliations": []}, {"name": "Viviana Patti", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper we describe our work concerning the application of a multi-layered scheme for the fine-grained annotation of irony (Karoui et al., 2017) on a new Italian social media corpus. In ap- plying the annotation on this corpus con- taining tweets, i.e. TWITTIR `O, we out- lined both strengths and weaknes... | A1 | {"ACL": "2017.clicit-1.22", "DOI": "10.4000/books.aaccademia.2382", "S2": "42d55745469d6696b60669aba9e5549e10c55b1d"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.23 | 10.4000/books.aaccademia.2384 | Identifying Predictive Features for Textual Genre Classification: the Key Role of Syntax | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Andrea Cimino", "id": null, "affiliations": []}, {"name": "Martijn Wieling", "id": null, "affiliations": []}, {"name": "Felice Dell’Orletta", "id": null, "affiliations": []}, {"name": "Simonetta Montemagni", "id": null, "affiliations": []}, {"name": "Giulia Venturi", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. The paper investigates impact and role of different feature types for the specific task of Automatic Genre Classi- fication with the final aim of identifying the most predictive ones. The goal was pursued by carrying out incremental fea- ture selection through Grafting using dif- ferent sets of linguistic feat... | A1 | {"ACL": "2017.clicit-1.23", "DOI": "10.4000/books.aaccademia.2384", "S2": "d8d3994a1f9f43607ee051f22fb9d0654683038b"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.24 | 10.4000/books.aaccademia.2386 | CorAIt - A Non-native Speech Database for Italian | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Claudia Roberta Combei", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. CorAIt is a non-native speech database for Italian, which is freely accessible online for academic research purposes. It was especially designed to meet the requirements of a larger research project focused on foreign accented Italian speech. The corpus is aimed at providing a uniform collection of speech samp... | A1 | {"ACL": "2017.clicit-1.24", "DOI": "10.4000/books.aaccademia.2386", "S2": "c331cea705e53f01d638cb2df5258ee3d3ded847"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.25 | 10.4000/books.aaccademia.2388 | Dealing with Italian Adjectives in Noun Phrase: a Study Oriented to Natural Language Generation | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Giorgia Conte", "id": null, "affiliations": []}, {"name": "Cristina Bosco", "id": null, "affiliations": []}, {"name": "Alessandro Mazzei", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper describes a theoret- ical and empirical investigation about the position of adjectives in the Italian lan- guage. The long term goal which oriented the study is the formalization of this infor- mation into a natural language generation system. Providing that adjectives mainly occur within noun phras... | A1 | {"ACL": "2017.clicit-1.25", "DOI": "10.4000/books.aaccademia.2388", "S2": "92f14c1e9fae40cbbb2c085f53da42097b2d7107"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.26 | 10.4000/books.aaccademia.2390 | Variabili Rilevanti nella Rappresentazione delle Parole nel Lessico Mentale: Dati Psicolinguistici da una Banca-dati di Nomi e Verbi Italiani | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Maria De Martino", "id": null, "affiliations": []}, {"name": "Azzurra Mancuso", "id": null, "affiliations": []}, {"name": "Alessandro Laudanna", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Italiano. Il lavoro descrive un database lessi- cale composto da 100 nomi e 100 verbi ita- liani. Per ciascun nome e verbo il database rende disponibili informazioni sulle proprieta formali, distribuzionali, morfo-fonologiche, semantiche e sintattiche e i valori relativi al tempo medio e all'accuratezza di riconosci- m... | A1 | {"ACL": "2017.clicit-1.26", "DOI": "10.4000/books.aaccademia.2390", "S2": "0777d6cde037341518dda70bf7c4f0d272fc69f0"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.27 | 10.4000/books.aaccademia.2391 | Tagging Semantic Types for Verb Argument Positions | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Francesca Della Moretta", "id": null, "affiliations": []}, {"name": "Anna Feltracco", "id": null, "affiliations": []}, {"name": "Elisabetta Jezek", "id": null, "affiliations": []}, {"name": "Bernardo Magnini", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Verb argument positions can be described by the semantic types that char- acterise the words filling that position. We investigate a number of linguistic issues underlying the tagging of an Italian corpus with the semantic types provided by the T-PAS (Typed Predicate Argument Struc- ture) resource. We report b... | A1 | {"ACL": "2017.clicit-1.27", "DOI": "10.4000/books.aaccademia.2391", "S2": "2a6362a0f72c15382aa459fd3035ead9ec6bbb29"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.28 | 10.4000/books.aaccademia.2393 | Linguistic Features and Newsworthiness: an Analysis of News style | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Maria Pia Di Buono", "id": null, "affiliations": []}, {"name": "Jan Snajder", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper, we present a prelim- inary study on the style of headlines in or- der to evaluate the correlation between lin- guistic features and newsworthiness. Our hypothesis is that each particular linguistic form or stylistic variation can be motivated by the purpose of encoding a certain news- worthiness... | A1 | {"ACL": "2017.clicit-1.28", "DOI": "10.4000/books.aaccademia.2393", "S2": "084f827e5a900869124096b5f15ba13c978638ee"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.29 | 10.4000/books.aaccademia.2396 | Can Monolingual Embeddings Improve Neural Machine Translation? | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Mattia Antonino Di Gangi", "id": null, "affiliations": []}, {"name": "Marcello Federico", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Neural machine translation (NMT) recently redefined the state of the art in machine translation, by introduc- ing deep learning architecture that can be trained end-to-end. One limitation of NMT is the difficulty to learn represen- tations of rare words. The most com- mon solution is to segment words into sub-... | A1 | {"ACL": "2017.clicit-1.29", "DOI": "10.4000/books.aaccademia.2396", "S2": "521f47376a3a47b04e1375875343e14afc2e9fd9"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.30 | 10.4000/books.aaccademia.2400 | Distributed Processes for Spoken Questions and Commands Understanding | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Dario Di Mauro", "id": null, "affiliations": []}, {"name": "Antonio Origlia", "id": null, "affiliations": []}, {"name": "Francesco Cutugno", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Commercial products labelled as smart de- vices usually recur to a centralised sys- tem that processes all the requests. A distributed model, where nodes indepen- dently interact with the environment, may provide a widespread support for both users and other devices. In the latter setup, each entity has a partial aware... | A1 | {"ACL": "2017.clicit-1.30", "DOI": "10.4000/books.aaccademia.2400", "S2": "0ad24588e81e7e0a67b339c29c28df3b35953fd0"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.31 | 10.4000/books.aaccademia.2403 | A Reproducible Approach with R Markdown to Automatic Classification of Medical Certificates in French | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Giorgio Maria Di Nunzio", "id": null, "affiliations": []}, {"name": "Federica Beghini", "id": null, "affiliations": []}, {"name": "Federica Vezzani", "id": null, "affiliations": []}, {"name": "Geneviève Henrot", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper, we report the on- going developments of our first partici- pation to the Cross-Language Evaluation Forum (CLEF) eHealth Task 1: "Mul- tilingual Information Extraction - ICD10 coding" (N ev eol et al., 2017). The task consists in labelling death certificates, in French with international standard... | A1 | {"ACL": "2017.clicit-1.31", "DOI": "10.4000/books.aaccademia.2403", "S2": "d6fcf638a780c9230012969a283d115ed55a005f"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.32 | 10.4000/books.aaccademia.2407 | Contrast-Ita Bank: A corpus for Italian Annotated with Discourse Contrast Relations | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Anna Feltracco", "id": null, "affiliations": []}, {"name": "Bernardo Magnini", "id": null, "affiliations": []}, {"name": "Elisabetta Jezek", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. We present Contrast-Ita Bank, a corpus annotated with discourse contrast relations in Italian. We annotate both ex- plicit and implicit contrast relations, fol- lowing the schema proposed in the Penn Discourse Treebank. We provide and dis- cuss quantitative data about the new re- source. Italiano. Presentiamo ... | A1 | {"ACL": "2017.clicit-1.32", "DOI": "10.4000/books.aaccademia.2407", "S2": "df5f9ed206a84492acdd309d330a3bd1f5ea47fd"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.33 | 10.4000/books.aaccademia.2408 | Ironic Gestures and Tones in Twitter | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Simona Frenda", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | true | null | English. Automatic irony detection is a young field of research related to Senti- ment Analysis. When dealing with social media data, the shortness of text and the extraction of the statement from his con- text usually makes it hard to understand irony even for humans but especially for machines. In this paper we propo... | A1 | {"ACL": "2017.clicit-1.33", "DOI": "10.4000/books.aaccademia.2408", "S2": "126fd9fd51e6210c6f817e351ce0f1ca72730ff5"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.34 | 10.4000/books.aaccademia.2409 | Emerging Sentiment Language Model for Emotion Detection | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Anastasia Giachanou", "id": null, "affiliations": []}, {"name": "Francisco Rangel", "id": null, "affiliations": []}, {"name": "Fabio Crestani", "id": null, "affiliations": []}, {"name": "Paolo Rosso", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper we present an ap- proach for joy, anger and neutral emotions detection based on an emerging sentiment language model. We propose an approach that can detect specific emotions from pos- itive, neutral and negative sentiments and which favors the tweets that occur at re- cent sentiment spikes. Our ... | A1 | {"ACL": "2017.clicit-1.34", "DOI": "10.4000/books.aaccademia.2409", "S2": "2886112a0b9384aadbe34674167e48d65d1b03ee"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.35 | 10.4000/books.aaccademia.2414 | Stylometry in Computer-Assisted Translation: Experiments on the Babylonian Talmud | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Emiliano Giovannetti", "id": null, "affiliations": []}, {"name": "Davide Albanesi", "id": null, "affiliations": []}, {"name": "Andrea Bellandi", "id": null, "affiliations": []}, {"name": "David Dattilo", "id": null, "affiliations": []}, {"name": "Felice Dell’Orletta", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. The purpose of this research is to experiment the application of stylomet- ric techniques in the area of Computer- Assisted Translation to reduce the revi- sion effort in the context of a collaborative, large scale translation project. The ob- tained results show a correlation between the editing extent and th... | A1 | {"ACL": "2017.clicit-1.35", "DOI": "10.4000/books.aaccademia.2414", "S2": "8ea9b451c90c522a22660cf906f266eb0c7eac75"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.36 | 10.4000/books.aaccademia.2417 | Towards an Italian Lexicon for Polarity Classification (polarITA): a Comparative Analysis of Lexical Resources for Sentiment Analysis | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Delia Irazú Hernández Farías", "id": null, "affiliations": []}, {"name": "Irene Laganà", "id": null, "affiliations": []}, {"name": "Viviana Patti", "id": null, "affiliations": []}, {"name": "Cristina Bosco", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. The paper describes a prelimi- nary study for the development of a novel lexicon for Italian sentiment analysis, i.e. where words are associated with polarity values. Given the influence of sentiment lexica on the performance of sentiment analysis systems, a methodology based on the detection and classificatio... | A1 | {"ACL": "2017.clicit-1.36", "DOI": "10.4000/books.aaccademia.2417", "S2": "cbd5a02bf7ab9a583c07de2b8a380329edf1d5a4"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.37 | 10.4000/books.aaccademia.2419 | Multilingual Neural Machine Translation for Low Resource Languages | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Surafel Melaku Lakew", "id": null, "affiliations": []}, {"name": "Mattia Antonino Di Gangi", "id": null, "affiliations": []}, {"name": "Marcello Federico", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Neural Machine Translation (NMT) has been shown to be more effective in trans- lation tasks compared to the Phrase-Based Statistical Machine Translation (PBMT). However, NMT systems are limited in translating low-resource languages (LRL), due to the fact that neural methods require a large amount of parallel data to le... | A1 | {"ACL": "2017.clicit-1.37", "DOI": "10.4000/books.aaccademia.2419", "S2": "37baebd8276fdd17ef7b64a03f8cb80373ced801"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.38 | 10.4000/books.aaccademia.2420 | Stem and Fragment Priming on Verbal Forms of Italian | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Alessandro Laudanna", "id": null, "affiliations": []}, {"name": "Giulia Bracco", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English . In this paper we investigate the respective roles of orthographic and morphological structure i n the processing of Italian verbal forms by using the masked priming paradigm. According to the morphology-based view, in a priming condition the recognition of an inflected word shou ld be facilitated by the prese... | A1 | {"ACL": "2017.clicit-1.38", "DOI": "10.4000/books.aaccademia.2420", "S2": "b516ee90cac85069b1ba50d974e33e20f499243d"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.39 | 10.4000/books.aaccademia.2422 | Metadata Annotation for Dramatic Texts | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Vincenzo Lombardo", "id": null, "affiliations": []}, {"name": "Rossana Damiano", "id": null, "affiliations": []}, {"name": "Antonio Pizzo", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper addresses the prob- lem of the metadata annotation for dra- matic texts. Metadata for drama describe the dramatic qualities of a text, connecting them with the linguistic expressions. Re- lying on an ontological representation of the dramatic qualities, the paper presents a proposal for the creation... | A1 | {"ACL": "2017.clicit-1.39", "DOI": "10.4000/books.aaccademia.2422", "S2": "ef9b46bf90306694f807d92b824192ab5f314ef1"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.40 | 10.4000/books.aaccademia.2425 | Deep Learning for Automatic Image Captioning in Poor Training Conditions | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Caterina Masotti", "id": null, "affiliations": []}, {"name": "Danilo Croce", "id": null, "affiliations": []}, {"name": "Roberto Basili", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Recent advancements in Deep Learning show that the combination of Convolutional Neural Networks and Re- current Neural Networks enables the def- inition of very effective methods for the automatic captioning of images. Unfortu- nately, this straightforward result requires the existence of large-scale corpora a... | A1 | {"ACL": "2017.clicit-1.40", "DOI": "10.4000/books.aaccademia.2425", "S2": "d9adc645e8c83c9be468f91244516b94eb5c5f66"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.41 | 10.4000/books.aaccademia.2427 | E Pluribus Unum. Representing Compounding in a Derivational Lexicon of Latin | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Silvia Micheli", "id": null, "affiliations": []}, {"name": "Eleonora Litta", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper describes how com- pounding is treated in the Word Forma- tion Latin derivational lexicon. Through the analysis of some types of Latin com- pounds, perspectives and limitations of the resource are highlighted; its contribution to theoretical and computational linguistic issues is also outlined. Ital... | A1 | {"ACL": "2017.clicit-1.41", "DOI": "10.4000/books.aaccademia.2427", "S2": "7789926d9e00a6c65dd44d21000cc3b4e85afed5"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.42 | null | Sanremo's Winner Is... Category-driven Selection Strategies for Active Learning | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Anne-Lyse Minard", "id": null, "affiliations": []}, {"name": "Manuela Speranza", "id": null, "affiliations": []}, {"name": "Mohammed R. H. Qwaider", "id": null, "affiliations": []}, {"name": "Bernardo Magnini", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper compares Active Learning selection strategies for sentiment analysis of Twitter data. We focus mainly on category-driven strategies, which select training instances taking into considera- tion the confidence of the system as well as the category of the tweet (e.g. posi- tive or negative). We show th... | A1 | {"ACL": "2017.clicit-1.42", "S2": "9941802414d18bf38de9a5c9112b2aa0a7f44c87", "CorpusId": 218654599} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.43 | 10.4000/books.aaccademia.2430 | Dalla Word Sense Disambiguation alla Sintassi: il Problema dell'Articolo Partitivo in Italiano | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Ignazio Mauro Mirto", "id": null, "affiliations": []}, {"name": "Emanuele Cipolla", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Italiano. Fuori contesto, un nesso come dei professori non d`a certezza di dove col- locare dei in relazione alle parti del dis- corso. Il nesso pu `o per esempio valere o alcuni professori (per es. in Dei pro- fessori intervennero) o esprimere apparte- nenza (per es. i libri dei professori ). Nel primo caso dei `e l'a... | A1 | {"ACL": "2017.clicit-1.43", "DOI": "10.4000/books.aaccademia.2430", "S2": "4225c66f5393a0125a183edebce08fd1ef0eb3ff"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.44 | null | PARSEME-It Corpus An annotated Corpus of Verbal Multiword Expressions in Italian | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Johanna Monti", "id": null, "affiliations": []}, {"name": "Maria Pia Di Buono", "id": null, "affiliations": []}, {"name": "Federico Sangati", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper describes a new lan- guage resource annotated with verbal mul- tiword expressions (VMWEs) in Italian. The paper discusses the state of the art in VMWE identification and annotation in Italian, the methodology adopted, the vari- ous VMWE categories annotated, the cor- pus and the annotation process. ... | A1 | {"ACL": "2017.clicit-1.44", "S2": "a2bff8310c9413c999a3fd9e5412ba73b1f80624", "CorpusId": 34035378} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.45 | 10.4000/books.aaccademia.2435 | MODAL: A Multilingual Corpus Annotated for Modality | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Malvina Nissim", "id": null, "affiliations": []}, {"name": "Paola Pietrandrea", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. We have produced a corpus annotated for modality which amounts to approximately 20,000 words in En- glish, French, and Italian. The annota- tion scheme is based on the notion ofepis- temic construction and virtually language- independent. The annotation is rigorously evaluated by means of a newly developed str... | A1 | {"ACL": "2017.clicit-1.45", "DOI": "10.4000/books.aaccademia.2435", "S2": "ccd4f2bfeacfde503d7e557702e443ca25df81f1"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.46 | 10.4000/books.aaccademia.2437 | AHyDA: Automatic Hypernym Detection with Feature Augmentation | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Ludovica Pannitto", "id": null, "affiliations": []}, {"name": "Lavinia Salicchi", "id": null, "affiliations": []}, {"name": "Alessandro Lenci", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Several unsupervised methods for hypernym detection have been inves- tigated in distributional semantics. Here we present a new approach based on a smoothed version of the distributional in- clusion hypothesis. The new method is able to improve hypernym detection after testing on the BLESS dataset. Italiano. S... | A1 | {"ACL": "2017.clicit-1.46", "DOI": "10.4000/books.aaccademia.2437", "S2": "67a368e0cf609820114cd100ef6c14a9fe9dbc7d"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.47 | 10.4000/books.aaccademia.2440 | INFORMed PA: A NER for the Italian Public Administration Domain | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Lucia C. Passaro", "id": null, "affiliations": []}, {"name": "Alessandro Lenci", "id": null, "affiliations": []}, {"name": "Anna Gabbolini", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper, we illustrate the creation of a NER for the Public Ad- ministration (PA) domain. We discuss the creation of an annotated corpus with documents from the Italian Albo Pretorio Nazionale and provide results of the sys- tem evaluation. Italiano. In questo lavoro mostriamo la creazione di un NER per ... | A1 | {"ACL": "2017.clicit-1.47", "DOI": "10.4000/books.aaccademia.2440", "S2": "8bcea2243d7ca62adeb57b221adceedb0d430c48"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.48 | 10.4000/books.aaccademia.2441 | Mining Offensive Language on Social Media | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Serena Pelosi", "id": null, "affiliations": []}, {"name": "Alessandro Maisto", "id": null, "affiliations": []}, {"name": "Pierluigi Vitale", "id": null, "affiliations": []}, {"name": "Simonetta Vietri", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. The present research deals with the automatic annotation and classification of vulgar ad offensive speech on social media. In this paper we will test the ef- fectiveness of the computational treatment of the taboo contents shared on the web, the output is a corpus of 31,749 Facebook comments which has been aut... | A1 | {"ACL": "2017.clicit-1.48", "DOI": "10.4000/books.aaccademia.2441", "S2": "ac14860727bd6a6e55d12dee327839bc6d8edd81"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.49 | 10.4000/books.aaccademia.2444 | Automatic Evaluation of Employee Satisfaction | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Marco Piersanti", "id": null, "affiliations": []}, {"name": "Giulia Brandetti", "id": null, "affiliations": []}, {"name": "Pierluigi Failla", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Human Resources are one of the most important assets in modern organiza- tions. Their capability of facing employ- ees' needs is critical in order to have an ef- fective and efficient company, where peo- ple are the center of all business processes. This work is focused on developing new techniques that, lever... | A1 | {"ACL": "2017.clicit-1.49", "DOI": "10.4000/books.aaccademia.2444", "S2": "716510692a6cfe3dbdfa4556d969be75886e5703"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.50 | 10.4000/books.aaccademia.2448 | Hate Speech Annotation: Analysis of an Italian Twitter Corpus | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Fabio Poletto", "id": null, "affiliations": []}, {"name": "Marco Stranisci", "id": null, "affiliations": []}, {"name": "Manuela Sanguinetti", "id": null, "affiliations": []}, {"name": "Viviana Patti", "id": null, "affiliations": []}, {"name": "Cristina Bosco", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. The paper describes the develop- ment of a corpus from social media built with the aim of representing and analysing hate speech against some minority groups in Italy. The issues related to data collec- tion and annotation are introduced, focus- ing on the challenges we addressed in de- signing a multifaceted ... | A1 | {"ACL": "2017.clicit-1.50", "DOI": "10.4000/books.aaccademia.2448", "S2": "14b563dbaa45229e4768e36e3c756c702d04c087"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.51 | 10.4000/books.aaccademia.2450 | PoS Taggers in the Wild: A Case Study with Swiss Italian Student Essays | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Daniele Puccinelli", "id": null, "affiliations": []}, {"name": "Silvia Demartini", "id": null, "affiliations": []}, {"name": "Aris Piatti", "id": null, "affiliations": []}, {"name": "Sara Giulivi", "id": null, "affiliations": []}, {"name": "Luca Cignetti", "id": null, "affiliations": []}, {"name": "Simone Fo... | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. State-of-the-art Part-of-Speech taggers have been thoroughly evaluated on standard Italian. To understand how Part-of-Speech taggers that have been pre- trained on standard Italian fare with a wide array of language anomalies, we evalu- ate five Part-of-Speech taggers on a cor- pus of student essays written th... | A1 | {"ACL": "2017.clicit-1.51", "DOI": "10.4000/books.aaccademia.2450", "S2": "10c2e252ae24deae8270a2b2308a9d4c809a351b"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.52 | 10.4000/books.aaccademia.2457 | Find Problems before They Find You with AnnotatorPro's Monitoring Functionalities | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Mohammed R. H. Qwaider", "id": null, "affiliations": []}, {"name": "Anne-Lyse Minard", "id": null, "affiliations": []}, {"name": "Manuela Speranza", "id": null, "affiliations": []}, {"name": "Bernardo Magnini", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. We present a tool for annota- tion of linguistic data. A NNOTATOR PRO offers both complete monitoring function- alities (e.g. inter-annotator agreement and agreement with respect to a gold standard) and highly flexible task design (e.g. token and document level annotation, adjudica- tion and reconciliation pro... | A1 | {"ACL": "2017.clicit-1.52", "DOI": "10.4000/books.aaccademia.2457", "S2": "68f50246f46f7abfd52a61e899ccd0665833be90"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.53 | 10.4000/books.aaccademia.2458 | Evaluating a Rule Based Strategy to Map IMAGACT and T-PAS | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Andrea Amelio Ravelli", "id": null, "affiliations": []}, {"name": "Lorenzo Gregori", "id": null, "affiliations": []}, {"name": "Anna Feltracco", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper presents the analy- sis of a mapping between two resources, IMAGACT and T-PAS, made through a rule-based algorithm which converts argu- ment structures in thematic roles. Results are good in terms of Recall, while Pre- cision values are low: an analysis of the causes is proposed. Italiano. Questo ar... | A1 | {"ACL": "2017.clicit-1.53", "DOI": "10.4000/books.aaccademia.2458", "S2": "30ee386cba604962beac10b3140f62980caf39c8"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.54 | 10.4000/books.aaccademia.2459 | Domain-specific Named Entity Disambiguation in Historical Memoirs | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Marco Rovera", "id": null, "affiliations": []}, {"name": "Federico Nanni", "id": null, "affiliations": []}, {"name": "Simone Paolo Ponzetto", "id": null, "affiliations": []}, {"name": "Anna Goy", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. This paper presents the results of the extraction of named entities from a collection of historical memoirs about the italian Resistance during the World War II. The methodology followed for the ex- traction and disambiguation task will be discussed, as well as its evaluation. For the semantic annotations of t... | A1 | {"ACL": "2017.clicit-1.54", "DOI": "10.4000/books.aaccademia.2459", "S2": "a8e3f2bb00e64cde5ab09dc1c9a1cc18304c2925"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.55 | 10.4000/books.aaccademia.2463 | Toward a Treebank Collecting German Aesthetic Writings of the Late 18th Century | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Alessio Salomoni", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper, I will describe the methodology to develop the first sample of a dependency treebank collecting Ger- man aesthetic writings of the late 18th cen- tury. A gold standard of the target data was annotated in order to evaluate some data- driven tools, trained on contemporary web news. Results are rep... | A1 | {"ACL": "2017.clicit-1.55", "DOI": "10.4000/books.aaccademia.2463", "S2": "de9dd8010af2171027af6636d5896258ffde4fbc"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.56 | 10.4000/books.aaccademia.2465 | Assessing the Use of Terminology in Phrase-Based Statistical Machine Translation for Academic Course Catalogues Translation | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Randy Scansani", "id": null, "affiliations": []}, {"name": "Marcello Federico", "id": null, "affiliations": []}, {"name": "Luisa Bentivogli", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this contribution we describe an approach to evaluate the use of termi- nology in a phrase-based machine trans- lation system to translate course unit de- scriptions from Italian into English. The genre is very prominent among those re- quiring translation by universities in Euro- pean countries where Engli... | A1 | {"ACL": "2017.clicit-1.56", "DOI": "10.4000/books.aaccademia.2465", "S2": "d3f43a35c942ac1b85d1f0f31973fe5467c20c53"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.57 | 10.4000/books.aaccademia.2469 | A little bit of bella pianura: Detecting Code-Mixing in Historical English Travel Writing | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Rachele Sprugnoli", "id": null, "affiliations": []}, {"name": "Sara Tonelli", "id": null, "affiliations": []}, {"name": "Giovanni Moretti", "id": null, "affiliations": []}, {"name": "Stefano Menini", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Code-mixing is the alternation between two or more languages in the same text. This phenomenon is very rele- vant in the travel domain, since it can pro- vide new insight in the way foreign cul- tures are perceived and described to the readers. In this paper, we analyse English- Italian code-mixing in historic... | A1 | {"ACL": "2017.clicit-1.57", "DOI": "10.4000/books.aaccademia.2469", "S2": "8b52130c3805f14eb377855eb6743f99e9fc123c"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.58 | 10.4000/books.aaccademia.2471 | PARAD-it: Eliciting Italian Paradigmatic Relations with Crowdsourcing | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Irene Sucameli", "id": null, "affiliations": []}, {"name": "Alessandro Lenci", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper, we present a new dataset of semantically related Italian word pairs. The dataset consists of nouns, adjectives and verbs together with their synonyms, antonyms and hyper nyms. The data have been collected with crowdsourcing from a pool of Italian na- tive speakers. The dataset, the first of its ... | A1 | {"ACL": "2017.clicit-1.58", "DOI": "10.4000/books.aaccademia.2471", "S2": "b552078a69ad8e65db92bee162a9719c998cbaf1"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.59 | 10.4000/books.aaccademia.2472 | The Impact of Phrases on Italian Lexical Simplification | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Sara Tonelli", "id": null, "affiliations": []}, {"name": "Alessio Palmero Aprosio", "id": null, "affiliations": []}, {"name": "Marco Mazzon", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. Automated lexical simplification has been performed so far focusing only on the replacement of single tokens with single tokens, and this choice has affected both the development of systems and the creation of benchmarks. In this paper, we argue that lexical simplification in real settings should deal both wit... | A1 | {"ACL": "2017.clicit-1.59", "DOI": "10.4000/books.aaccademia.2472", "S2": "d3aaca50b7826408bd70edb2f6dd9af440f6592c"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.60 | 10.4000/books.aaccademia.2475 | Analysis of Italian Word Embeddings | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Rocco Tripodi", "id": null, "affiliations": []}, {"name": "Stefano Li Pira", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this work we analyze the performances of two of the most used word embeddings algorithms, skip-gram and continuous bag of words on Italian language. These algorithms have many hyper-parameter that have to be carefully tuned in order to obtain accurate word rep- resentation in vectorial space. We provide an ... | A1 | {"ACL": "2017.clicit-1.60", "DOI": "10.4000/books.aaccademia.2475", "ArXiv": "1707.08783", "S2": "43eaf3250f3506a804a4f6d055ace19effb485fa"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.61 | 10.4000/books.aaccademia.2478 | Applicazione di un Metodo Attribuzionistico Quantitativo alla Monodia Liturgica Medievale | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Francesco Unguendoli", "id": null, "affiliations": []}, {"name": "Giampaolo Cristadoro", "id": null, "affiliations": []}, {"name": "Marco Beghelli", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Italiano. L'articolo mostra come tecni- che di analisi stilometriche comunemen- te usate in ambito letterario (basate sulla distanza tra vettori delle frequenze di n- grammi di lettere) possano essere adattate con successo allo studio di repertori mu- sicali "unidimensionali" (ovvero melodie prive di ritmo e di accompa... | A1 | {"ACL": "2017.clicit-1.61", "DOI": "10.4000/books.aaccademia.2478", "S2": "6bb2e211fd5fdf6ca5489e9ff41f0946c1f6bd73"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.clicit-1.62 | 10.4000/books.aaccademia.2482 | Commercial Applications through Community Question Answering Technology | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Antonio Uva", "id": null, "affiliations": []}, {"name": "Valerio Storch", "id": null, "affiliations": []}, {"name": "Casimiro Carrino", "id": null, "affiliations": []}, {"name": "Ugo Di Iorio", "id": null, "affiliations": []}, {"name": "Alessandro Moschitti", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | English. In this paper, we describe our ex- perience on using current methods devel- oped for Community Question Answering (cQA) for a commercial application fo- cused on an Italian help desk. Our ap- proach is based on (i) a search engine to retrieve previously answered question can- didates and (ii) kernel methods ap... | A1 | {"ACL": "2017.clicit-1.62", "DOI": "10.4000/books.aaccademia.2482", "S2": "7410deb9904398e0ba554ca3435c048c520d5182"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.1 | 10.5087/dad.2017.210 | Signalling Implicit Relations: A PDTB - RST Comparison | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Lucie Poláková", "id": null, "affiliations": []}, {"name": "Jiˇrí Mírovský", "id": null, "affiliations": []}, {"name": "Pavlína Synková", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Describing implicit phenomena in discourse is known to be a problematic task, from both theoretical and empirical perspectives. The present article contributes to this topic by a novel comparative analysis of two prominent annotation approaches to discourse relations (coherence relations) that were carried out on the s... | A1 | {"ACL": "2017.dnd-8.1", "DOI": "10.5087/dad.2017.210"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.2 | 10.5087/dad.2017.209 | User-Adaptive A Posteriori Restoration for Incorrectly Segmented Utterances in Spoken Dialogue Systems | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Kazunori Komatani", "id": null, "affiliations": []}, {"name": "Naoki Hotta", "id": null, "affiliations": []}, {"name": "Satoshi Sato", "id": null, "affiliations": []}, {"name": "Mikio Nakano", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Ideally, the users of spoken dialogue systems should be able to speak at their own tempo. Thus, the systems needs to interpret utterances from various users correctly, even when the utterances contain pauses. In response to this issue, we propose an approach based on a posteriori restoration for incorrectly segmented u... | A1 | {"ACL": "2017.dnd-8.2", "DOI": "10.5087/dad.2017.209"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.3 | 10.5087/dad.2017.208 | Discovering Rhetoric Agreement between a Request and Response | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Boris Galitsky", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | To support a natural flow of a conversation between humans and automated agents, rhetoric structures of each message has to be analyzed. We classify a pair of paragraphs of text as appropriate for one to follow another, or inappropriate, based on both topic and communicative discourse considerations. To represent a mul... | A1 | {"ACL": "2017.dnd-8.3", "DOI": "10.5087/dad.2017.208"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.4 | 10.5087/dad.2017.207 | Discourse Markers in Speech: Distinctive Features and Corpus Annotation | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Ludivine Crible", "id": null, "affiliations": []}, {"name": "Maria-Josep Cuenca", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | It is generally acknowledged that discourse markers are used differently in speech and writing, yet many general descriptions and most annotation frameworks are written-based, thus partially unfit to be applied in spoken corpora. This paper identifies the major distinctive features of discourse markers in spoken langua... | A1 | {"ACL": "2017.dnd-8.4", "DOI": "10.5087/dad.2017.207"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.5 | 10.5087/dad.2017.206 | Boon or Bane? Discursive Construction of the Shale Gas Controversy | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Zeynep Cihan Koca-Helvacı", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | This study explores strategies in pro and anti-shale organizations' discourse by combining the Discourse-Historical Approach (Wodak, 2001) with corpus linguistics. With the help of keyword lists, collocations, concordances, and key semantic domains, the representations of shale gas extraction, relevant actors and argum... | A1 | {"ACL": "2017.dnd-8.5", "DOI": "10.5087/dad.2017.206"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.6 | 10.5087/dad.2017.205 | An Empirical Analysis of Subjectivity and Narrative Levels in Weblog Storytelling Across Cultures | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Reid Swanson", "id": null, "affiliations": []}, {"name": "Andrew S. Gordon", "id": null, "affiliations": []}, {"name": "Peter Khooshabeh", "id": null, "affiliations": []}, {"name": "Kenji Sagae", "id": null, "affiliations": []}, {"name": "Richard Huskey", "id": null, "affiliations": []}, {"name": "Michael Ma... | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Storytelling is a universal activity, but the way in which discourse structure is used to persuasively convey ideas and emotions may depend on cultural factors. Because first-person accounts of life experiences can have a powerful impact in how a person is perceived, the storyteller may instinctively employ specific st... | A1 | {"ACL": "2017.dnd-8.6", "DOI": "10.5087/dad.2017.205"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.7 | 10.5087/dad.2017.204 | Discourse coherence and the interpretation of accented pronouns | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Mindaugas Mozuraitis", "id": null, "affiliations": []}, {"name": "Daphna Heller", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | It has long been argued that accenting or stressing a pronoun (i.e., making it prosodically prominent) changes its interpretation as compared to its unaccented counterpart. However, recent experimental work demonstrated that this generalization does not apply when the alternative interpretation of the pronoun is not pl... | A1 | {"ACL": "2017.dnd-8.7", "DOI": "10.5087/dad.2017.204"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.8 | 10.5087/dad.2017.203 | Examples and Specifications that Prove a Point: Identifying Elaborative and Argumentative Discourse Relations | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Merel C.J. Scholman", "id": null, "affiliations": []}, {"name": "Vera Demberg", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Examples and specifications occur frequently in text, but not much is known about how they function in discourse and how readers interpret them. Looking at how they're annotated in existing discourse corpora, we find that annotators often disagree on these types of relations; specifically, there is disagreement about w... | A1 | {"ACL": "2017.dnd-8.8", "DOI": "10.5087/dad.2017.203"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.9 | 10.5087/dad.2017.202 | Dialog Structure Through the Lens of Gender, Gender Environment, and Power | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Vinodkumar Prabhakaran", "id": null, "affiliations": []}, {"name": "Owen Rambow", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Understanding how the social context of an interaction affects our dialog behavior is of great interest to social scientists who study human behavior, as well as to computer scientists who build automatic methods to infer those social contexts. In this paper, we study the interaction of power, gender, and dialog behavi... | A1 | {"ACL": "2017.dnd-8.9", "DOI": "10.5087/dad.2017.202"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.10 | 10.5087/dad.2017.201 | On Temporality in Discourse Annotation: Theoretical and Practical Considerations | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Jacqueline Evers-Vermeul", "id": null, "affiliations": []}, {"name": "Jet Hoek", "id": null, "affiliations": []}, {"name": "Merel C.J. Scholman", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Temporal information is one of the prominent features that determine the coherence in a discourse. That is why we need an adequate way to deal with this type of information during discourse annotation. In this paper, we will argue that temporal order is a relational rather than a segment-specific property, and that it ... | A1 | {"ACL": "2017.dnd-8.10", "DOI": "10.5087/dad.2017.201"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.11 | 10.5087/dad.2017.105 | Just because: In search of objective criteria of subjectivity expressed by causal connectives | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Natalia Levshina", "id": null, "affiliations": []}, {"name": "Liesbeth Degand", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | The connective because can express both highly objective and highly subjective causal relations. In this, it differs from its counterparts in other languages, e.g. Dutch, where two conjunctions omdat and want express more objective and more subjective causal relations, respectively. The present study investigates wheth... | A1 | {"ACL": "2017.dnd-8.11", "DOI": "10.5087/dad.2017.105"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.12 | 10.5087/dad.2017.104 | A Psycholinguistic Model for the Marking of Discourse Relations | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Frances Yung", "id": null, "affiliations": []}, {"name": "Kevin Duh", "id": null, "affiliations": []}, {"name": "Taku Komura", "id": null, "affiliations": []}, {"name": "Yuji Matsumoto", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Discourse relations can either be explicitly marked by discourse connectives (DCs), such as therefore and but, or implicitly conveyed in natural language utterances. How speakers choose between the two options is a question that is not well understood. In this study, we propose a psycholinguistic model that predicts wh... | A1 | {"ACL": "2017.dnd-8.12", "DOI": "10.5087/dad.2017.104"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.13 | 10.5087/dad.2017.103 | A corpus-driven approach to discourse organisation: from cues to complex markers | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Marie-Paule Péry-Woodley", "id": null, "affiliations": []}, {"name": "Lydia-Mai Ho-Dac", "id": null, "affiliations": []}, {"name": "Josette Rebeyrolle", "id": null, "affiliations": []}, {"name": "Ludovic Tanguy", "id": null, "affiliations": []}, {"name": "C`ecile Fabre", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | This paper reports on an experiment implementing a data-intensive approach to discourse organisation. Its focus is on enumerative structures envisaged as a type of textual pattern in a sequentiality-oriented approach to discourse. On the basis of a large-scale annotation exercise calling upon automatic feature mark-up ... | A1 | {"ACL": "2017.dnd-8.13", "DOI": "10.5087/dad.2017.103"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.14 | 10.5087/dad.2017.102 | Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Ryan Lowe", "id": null, "affiliations": []}, {"name": "Nissan Pow", "id": null, "affiliations": []}, {"name": "Iulian Vlad Serban", "id": null, "affiliations": []}, {"name": "Laurent Charlin", "id": null, "affiliations": []}, {"name": "Chia-Wei Liu", "id": null, "affiliations": []}, {"name": "Joelle Pineau",... | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | In this paper, we construct and train end-to-end neural network-based dialogue systems usingan updated version of the recent Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This dataset is interesting because of its siz... | A1 | {"ACL": "2017.dnd-8.14", "DOI": "10.5087/dad.2017.102"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.dnd-8.15 | 10.5087/dad.2017.101 | Non-Native Differences in Prosodic-Construction Use | 2,017 | null | ["ConferencePaper"] | null | acl_other | [{"name": "Nigel G. Ward", "id": null, "affiliations": []}, {"name": "Paola Gallardo", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Many language learners never acquire truly native-sounding prosody. Previous work has suggested that this involves skill deficits in the dialog-related uses of prosody, and may be attributable to weaknesses with specific prosodic constructions. Using semi-automated methods, we identified 32 of the most common prosodic ... | A1 | {"ACL": "2017.dnd-8.15", "DOI": "10.5087/dad.2017.101"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.iwslt-1.0 | null | Proceedings of the 14th International Conference on Spoken Language Translation | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Sakriani Sakti", "id": null, "affiliations": []}, {"name": "Masao Utiyama", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Sakriani Sakti, Masao Utiyama. Proceedings of the 14th International Conference on Spoken Language Translation. 2017. | A1 | {"ACL": "2017.iwslt-1.0"} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.iwslt-1.1 | null | Overview of the IWSLT 2017 Evaluation Campaign | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Mauro Cettolo", "id": null, "affiliations": []}, {"name": "Marcello Federico", "id": null, "affiliations": []}, {"name": "Luisa Bentivogli", "id": null, "affiliations": []}, {"name": "Jan Niehues", "id": null, "affiliations": []}, {"name": "Sebastian Stüker", "id": null, "affiliations": []}, {"name": "Katsuh... | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | The IWSLT 2017 evaluation campaign has organised three tasks. The Multilingual task, which is about training machine translation systems handling many-to-many language directions, including so-called zero-shot directions. The Dialogue task, which calls for the integration of context information in machine translation, ... | A1 | {"ACL": "2017.iwslt-1.1", "S2": "cb0ab255c4079e2082ba6e3a807529527d96687c", "CorpusId": 21675165} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.iwslt-1.2 | null | Going beyond zero-shot MT: combining phonological, morphological and semantic factors. The UdS-DFKI System at IWSLT 2017 | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Cristina España-Bonet", "id": null, "affiliations": []}, {"name": "Josef van Genabith", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | This paper describes the UdS-DFKI participation to the multilingual task of the IWSLT Evaluation 2017. Our approach is based on factored multilingual neural translation systems following the small data and zero-shot training conditions. Our systems are designed to fully exploit multilinguality by including factors that... | A1 | {"ACL": "2017.iwslt-1.2", "S2": "ec0a0a996a743aabe67d01ff5a57f8d3eb740f37", "CorpusId": 53473815} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.iwslt-1.3 | null | The Samsung and University of Edinburgh's submission to IWSLT17 | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Pawel Przybysz", "id": null, "affiliations": []}, {"name": "Marcin Chochowski", "id": null, "affiliations": []}, {"name": "Rico Sennrich", "id": null, "affiliations": []}, {"name": "Barry Haddow", "id": null, "affiliations": []}, {"name": "Alexandra Birch", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | This paper describes the joint submission of Samsung Research and Development, Warsaw, Poland and the University of Edinburgh team to the IWSLT MT task for TED talks. We took part in two translation directions, en-de and de-en. We also participated in the en-de and de-en lectures SLT task. The models have been trained ... | A1 | {"ACL": "2017.iwslt-1.3", "S2": "91f456b0ae01cc3cf0510fa216b60824922ca54f", "CorpusId": 186645301} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.iwslt-1.4 | null | The RWTH Aachen Machine Translation Systems for IWSLT 2017 | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Parnia Bahar", "id": null, "affiliations": []}, {"name": "Jan Rosendahl", "id": null, "affiliations": []}, {"name": "Nick Rossenbach", "id": null, "affiliations": []}, {"name": "Hermann Ney", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | This work describes the Neural Machine Translation (NMT) system of the RWTH Aachen University developed for the English$German tracks of the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT) 2017. We use NMT systems which are augmented by state-of-the-art extensions. Furthermore, ... | A1 | {"ACL": "2017.iwslt-1.4", "S2": "797b7409a454599d3282d3aa41d1d87d4c066f61", "CorpusId": 247363313} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.iwslt-1.5 | null | FBK's Multilingual Neural Machine Translation System for IWSLT 2017 | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Surafel M. Lakew", "id": null, "affiliations": []}, {"name": "Quintino F. Lotito", "id": null, "affiliations": []}, {"name": "Marco Turchi", "id": null, "affiliations": []}, {"name": "Matteo Negri", "id": null, "affiliations": []}, {"name": "Marcello Federico", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | Neural Machine Translation has been shown to enable inference and cross-lingual knowledge transfer across multiple language directions using a single multilingual model. Focusing on this multilingual translation scenario, this work summarizes FBK's participation in the IWSLT 2017 shared task. Our submissions rely on tw... | A1 | {"ACL": "2017.iwslt-1.5", "S2": "db45ba1b0d806abd841160779b1f81bd13a2223e", "CorpusId": 247363308} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.iwslt-1.6 | null | KIT's Multilingual Neural Machine Translation systems for IWSLT 2017 | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Ngoc-Quan Pham", "id": null, "affiliations": []}, {"name": "Matthias Sperber", "id": null, "affiliations": []}, {"name": "Elizabeth Salesky", "id": null, "affiliations": []}, {"name": "Thanh-Le Ha", "id": null, "affiliations": []}, {"name": "Jan Niehues", "id": null, "affiliations": []}, {"name": "Alexander ... | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | In this paper, we present KIT's multilingual neural machine translation (NMT) systems for the IWSLT 2017 evaluation campaign machine translation (MT) and spoken language translation (SLT) tasks. For our MT task submissions, we used our multi-task system, modified from a standard attentional neural machine translation f... | A1 | {"ACL": "2017.iwslt-1.6", "S2": "723adebadc82c5720b7a182e1b20e8ba8f01cddd", "CorpusId": 48964995} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
acl:2017.iwslt-1.7 | null | Towards better translation performance on spoken language | 2,017 | 2017 | ["ConferencePaper"] | null | acl_other | [{"name": "Chao Bei", "id": null, "affiliations": []}, {"name": "Hao Zong", "id": null, "affiliations": []}] | Natural Language Processing | ["Natural Language Processing", "Computational Linguistics"] | Computer Science | Natural Language Processing | null | false | null | In this paper, we describe GTCOM's neural machine translation(NMT) systems for the International Workshop on Spoken Language Translation(IWSLT) 2017. We participated in the English-to-Chinese and Chinese-to-English tracks in the small data condition of the bilingual task and the zero-shot condition of the multilingual ... | A1 | {"ACL": "2017.iwslt-1.7", "S2": "fb3a6098945bcb8b48b1f8a21c9a0edcb38defe0", "CorpusId": 247363307} | ["Natural Language Processing", "Computational Linguistics", "Computer Science"] |
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