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milajevs-etal-2016-robust | https://aclanthology.org/P16-3009 | Robust Co-occurrence Quantification for Lexical Distributional Semantics | Previous optimisations of parameters affecting the word-context association measure used in distributional vector space models have focused either on highdimensional vectors with hundreds of thousands of dimensions, or dense vectors with dimensionality of a few hundreds; but dimensionality of a few thousands is often a... | false | [] | [] | null | null | null | We thank Ann Copestake for her valuable comments as part of the ACL SRW mentorship program and the anonymous reviewers for their comments. Support from EPSRC grant EP/J002607/1 is gratefully acknowledged by Dmitrijs Milajevs and Mehrnoosh Sadrzadeh. Matthew Purver is partly supported by ConCreTe: the project ConCreTe a... | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
lin-etal-2019-task | https://aclanthology.org/D19-1463 | Task-Oriented Conversation Generation Using Heterogeneous Memory Networks | How to incorporate external knowledge into a neural dialogue model is critically important for dialogue systems to behave like real humans. To handle this problem, memory networks are usually a great choice and a promising way. However, existing memory networks do not perform well when leveraging heterogeneous informat... | false | [] | [] | null | null | null | We thank the anonymous reviewers for their insightful comments on this paper. This work was supported by the NSFC (No.61402403), DAMO Academy (Alibaba Group), Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Chinese Knowledge Center for Engineering Sciences and Technology, and the Fundamental Resea... | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
agarwal-kann-2020-acrostic | https://aclanthology.org/2020.emnlp-main.94 | Acrostic Poem Generation | We propose a new task in the area of computational creativity: acrostic poem generation in English. Acrostic poems are poems that contain a hidden message; typically, the first letter of each line spells out a word or short phrase. We define the task as a generation task with multiple constraints: given an input word, ... | false | [] | [] | null | null | null | We would like to thank the members of NYU's ML 2 group for their help with the human evaluation and their feedback on our paper! We are also grateful to the anonymous reviewers for their insightful comments. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
vu-etal-2018-sentence | https://aclanthology.org/N18-2013 | Sentence Simplification with Memory-Augmented Neural Networks | Sentence simplification aims to simplify the content and structure of complex sentences, and thus make them easier to interpret for human readers, and easier to process for downstream NLP applications. Recent advances in neural machine translation have paved the way for novel approaches to the task. In this paper, we a... | false | [] | [] | null | null | null | We would like to thank Emily Druhl, Jesse Lingeman, and the UMass BioNLP team for their help with this work. We also thank Xingxing Zhang and Sergiu Nisioi for valuable discussions, and the anonymous reviewers for their thoughtful comments and suggestions. | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
pedersen-2001-machine | https://aclanthology.org/S01-1034 | Machine Learning with Lexical Features: The Duluth Approach to SENSEVAL-2 | This paper describes the sixteen Duluth entries in the SENSEVAL-2 comparative exercise among word sense disambiguation systems. There were eight pairs of Duluth systems entered in the Spanish and English lexical sample tasks. These are all based on standard machine learning algorithms that induce classifiers from sense... | false | [] | [] | null | null | null | This work has been partially supported by a National Science Foundation Faculty Early CA-REER Development award (#0092784).The Bigram Statistics Package and Sense-Tools have been implemented by Satanjeev Banerjee. | 2001 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
huang-etal-2009-bilingually | https://aclanthology.org/D09-1127 | Bilingually-Constrained (Monolingual) Shift-Reduce Parsing | Jointly parsing two languages has been shown to improve accuracies on either or both sides. However, its search space is much bigger than the monolingual case, forcing existing approaches to employ complicated modeling and crude approximations. Here we propose a much simpler alternative, bilingually-constrained monolin... | false | [] | [] | null | null | null | We thank the anonymous reviewers for pointing to us references about "arc-standard". We also thank Aravind Joshi and Mitch Marcus for insights on PP attachment, Joakim Nivre for discussions on arc-eager, Yang Liu for suggestion to look at manual alignments, and David A. Smith for sending us his paper. The second and th... | 2009 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
shirakawa-etal-2017-never | https://aclanthology.org/D17-1251 | Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem | We propose a language-independent datadriven method to exhaustively extract bursty phrases of arbitrary forms (e.g., phrases other than simple noun phrases) from microblogs. The burst (i.e., the rapid increase of the occurrence) of a phrase causes the burst of overlapping Ngrams including incomplete ones. In other word... | false | [] | [] | null | null | null | This research is partially supported by the Grantin-Aid for Scientific Research (A)(2620013) of the Ministry of Education, Culture, Sports, Science and Technology, Japan, and JST, Strategic International Collaborative Research Program, SICORP. | 2017 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
mohammadi-etal-2017-native | https://aclanthology.org/W17-5022 | Native Language Identification Using a Mixture of Character and Word N-grams | Native language identification (NLI) is the task of determining an author's native language, based on a piece of his/her writing in a second language. In recent years, NLI has received much attention due to its challenging nature and its applications in language pedagogy and forensic linguistics. We participated in the... | false | [] | [] | null | null | null | null | 2017 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
goyal-etal-2012-distributed | https://aclanthology.org/C12-1062 | A Distributed Platform for Sanskrit Processing | Sanskrit, the classical language of India, presents specific challenges for computational linguistics: exact phonetic transcription in writing that obscures word boundaries, rich morphology and an enormous corpus, among others. Recent international cooperation has developed innovative solutions to these problems and si... | false | [] | [] | null | null | null | null | 2012 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
dusek-jurcicek-2015-training | https://aclanthology.org/P15-1044 | Training a Natural Language Generator From Unaligned Data | We present a novel syntax-based natural language generation system that is trainable from unaligned pairs of input meaning representations and output sentences. It is divided into sentence planning, which incrementally builds deep-syntactic dependency trees, and surface realization. Sentence planner is based on A* sear... | false | [] | [] | null | null | null | This work was funded by the Ministry of Education, Youth and Sports of the Czech Republic under the grant agreement LK11221 and core research funding, SVV project 260 104, and GAUK grant 2058214 of Charles University in Prague. It used language resources stored and distributed by the LINDAT/CLARIN project of the Minist... | 2015 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
jiang-etal-2016-ecnu | https://aclanthology.org/S16-1058 | ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews | This paper describes our systems submitted to the Sentence-level and Text-level Aspect-Based Sentiment Analysis (ABSA) task (i.e., Task 5) in SemEval-2016. The task involves two phases, namely, Aspect Detection phase and Sentiment Polarity Classification phase. We participated in the second phase of both subtasks in la... | false | [] | [] | null | null | null | This research is supported by grants from Science and Technology Commission of Shanghai Municipality (14DZ2260800 and 15ZR1410700), Shanghai Collaborative Innovation Center of Trustworthy Software for Internet of Things (ZF1213). | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
takehisa-2016-possessor | https://aclanthology.org/Y16-3014 | On the Possessor Interpretation of Non-Agentive Subjects | It has been observed that the relation of possession contributes to the formation of socalled adversity causatives, whose subject is understood as a possessor of an object referent. This interpretation is reflected at face value in some studies, and it is assumed there that the subject argument is introduced as a posse... | false | [] | [] | null | null | null | I am grateful to Chigusa Morita and three anonymous reviewers for their invaluable comments, which helped clarify the manuscript. I am solely responsible for any errors and inadequacies contained herein. | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
wang-etal-2020-neural | https://aclanthology.org/2020.aacl-main.21 | Neural Gibbs Sampling for Joint Event Argument Extraction | Event Argument Extraction (EAE) aims at predicting event argument roles of entities in text, which is a crucial subtask and bottleneck of event extraction. Existing EAE methods either extract each event argument roles independently or sequentially, which cannot adequately model the joint probability distribution among ... | false | [] | [] | null | null | null | We thank Hedong (Ben) Hou for his help in the mathematical proof. This work is supported by the Key-Area Research and Development Program of Guangdong Province (2019B010153002), NSFC Key Projects (U1736204, 61533018), a grant from Institute for Guo Qiang, Tsinghua University (2019GQB0003) and THUNUS NExT Co-Lab. This w... | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
tan-etal-2019-expressing | https://aclanthology.org/P19-1182 | Expressing Visual Relationships via Language | Describing images with text is a fundamental problem in vision-language research. Current studies in this domain mostly focus on single image captioning. However, in various real applications (e.g., image editing, difference interpretation, and retrieval), generating relational captions for two images, can also be very... | false | [] | [] | null | null | null | We thank the reviewers for their helpful comments and Nham Le for helping with the initial data collection. This work was supported by Adobe, ARO-YIP Award #W911NF-18-1-0336, and faculty awards from Google, Facebook, and Salesforce. The views, opinions, and/or findings contained in this article are those of the authors... | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
hao-etal-2019-modeling | https://aclanthology.org/N19-1122 | Modeling Recurrence for Transformer | Recently, the Transformer model (Vaswani et al., 2017) that is based solely on attention mechanisms, has advanced the state-of-the-art on various machine translation tasks. However, recent studies reveal that the lack of recurrence hinders its further improvement of translation capacity (Chen et al., 2018; Dehghani et ... | false | [] | [] | null | null | null | Acknowledgments J.Z. was supported by the National Institute of General Medical Sciences of the National Institute of Health under award number R01GM126558. We thank the anonymous reviewers for their insightful comments. | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
gustavson-1981-forarbeten | https://aclanthology.org/W81-0119 | F\"orarbeten till en datoriserad runordbok (Preliminary work for a computerized rune lexicon) [In Swedish] | I det följande beskrivs arbetet med att upprätta ett ADB-baserat re gister över det språkliga materialet i Sveriges runinskrifter.Det skall också tjäna som en utgångspunkt för en planerad runordbok. Ur datorteknisk synpunkt kan det vara av intresse, eftersom det bygger på ett mikrodatorsystem och tillämpning av interak... | false | [] | [] | null | null | null | null | 1981 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
yu-etal-2020-mooccube | https://aclanthology.org/2020.acl-main.285 | MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs | The prosperity of Massive Open Online Courses (MOOCs) provides fodder for many NLP and AI research for education applications, e.g., course concept extraction, prerequisite relation discovery, etc. However, the publicly available datasets of MOOC are limited in size with few types of data, which hinders advanced models... | true | [] | [] | Quality Education | null | null | Zhiyuan Liu is supported by the National KeyResearch and Development Program of China(No. 2018YFB1004503), and others are supported by NSFC key project (U1736204, 61533018), a grant from Beijing Academy of Artificial Intelligence (BAAI2019ZD0502), a grant from the Insititute for Guo Qiang, Tsinghua University, THUNUS N... | 2020 | false | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false |
chen-chang-1998-topical | https://aclanthology.org/J98-1003 | Topical Clustering of MRD Senses Based on Information Retrieval Techniques | This paper describes a heuristic approach capable of automatically clustering senses in a machinereadable dictionary (MRD). Including these clusters in the MRD-based lexical database offers several positive benefits for word sense disambiguation (WSD). First, the clusters can be used as a coarser sense division, so unn... | false | [] | [] | null | null | null | This work is partially supported by ROC NSC grants 84-2213-E-007-023 and NSC 85-2213-E-007-042. We are grateful to Betty Teng and Nora Liu from Longman Asia Limited for the permission to use their lexicographical resources for research purposes. Finally, we would like to thank the anonymous reviewers for many construct... | 1998 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
jagarlamudi-daume-iii-2012-low | https://aclanthology.org/N12-1088 | Low-Dimensional Discriminative Reranking | The accuracy of many natural language processing tasks can be improved by a reranking step, which involves selecting a single output from a list of candidate outputs generated by a baseline system. We propose a novel family of reranking algorithms based on learning separate low-dimensional embeddings of the task's inpu... | false | [] | [] | null | null | null | We thank Zhongqiang Huang for providing the code for the baseline systems, Raghavendra Udupa and the anonymous reviewers for their insightful comments. This work is partially funded by NSF grants IIS-1153487 and IIS-1139909. | 2012 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
massung-etal-2016-meta | https://aclanthology.org/P16-4016 | MeTA: A Unified Toolkit for Text Retrieval and Analysis | META is developed to unite machine learning, information retrieval, and natural language processing in one easy-to-use toolkit. Its focus on indexing allows it to perform well on large datasets, supporting online classification and other out-of-core algorithms. META's liberal open source license encourages contribution... | false | [] | [] | null | null | null | This material is based upon work supported by the NSF GRFP under Grant Number DGE-1144245. 22 ftp://largescale.ml.tu-berlin.de/largescale/ 23 It took 12m 24s to generate the index. | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
kay-1987-machines | https://aclanthology.org/1987.mtsummit-1.21 | Machines and People in Translation | It is useful to distinguish a narrower and a wider use for the term "machine translation". The narrow sense is the more usual one. In this sense, the term refers to a batch process in which a text is given over to a machine from which, some time later, a result is collected which we think of as the output of the machin... | false | [] | [] | null | null | null | null | 1987 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
pilault-etal-2020-extractive | https://aclanthology.org/2020.emnlp-main.748 | On Extractive and Abstractive Neural Document Summarization with Transformer Language Models | We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive summarization. We perform a simple extractive step before generating a summary, which is then used to condition the transformer language model on relevant information before being tasked with... | false | [] | [] | null | null | null | 1 Note: The abstract above was collaboratively written by the authors and one of the models presented in this paper based on an earlier draft of this paper. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
neubig-etal-2018-xnmt | https://aclanthology.org/W18-1818 | XNMT: The eXtensible Neural Machine Translation Toolkit | This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distinguishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable, reliable results. In this paper we describe the design of XNMT and its ... | false | [] | [] | null | null | null | Part of the development of XNMT was performed at the Jelinek Summer Workshop in Speech and Language Technology (JSALT) "Speaking Rosetta Stone" project (Scharenborg et al., 2018) , and we are grateful to the JSALT organizers for the financial/logistical support, and also participants of the workshop for their feedback ... | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
scheible-schutze-2014-multi | https://aclanthology.org/E14-4039 | Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning | Sentiment relevance (SR) aims at identifying content that does not contribute to sentiment analysis. Previously, automatic SR classification has been studied in a limited scope, using a single domain and feature augmentation techniques that require large hand-crafted databases. In this paper, we present experiments on ... | false | [] | [] | null | null | null | null | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
stede-grishina-2016-anaphoricity | https://aclanthology.org/W16-0706 | Anaphoricity in Connectives: A Case Study on German | Anaphoric connectives are event anaphors (or abstract anaphors) that in addition convey a coherence relation holding between the antecedent and the host clause of the connective. Some of them carry an explicitly-anaphoric morpheme, others do not. We analysed the set of German connectives for this property and found tha... | false | [] | [] | null | null | null | We thank Tatjana Scheffler and Erik Haegert for their help with corpus annotation, and the anonymous reviewers for their valuable suggestions on improving the paper. | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
goldwasser-zhang-2016-understanding | https://aclanthology.org/Q16-1038 | Understanding Satirical Articles Using Common-Sense | Automatic satire detection is a subtle text classification task, for machines and at times, even for humans. In this paper we argue that satire detection should be approached using common-sense inferences, rather than traditional text classification methods. We present a highly structured latent variable model capturin... | false | [] | [] | null | null | null | null | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
dong-etal-2020-transformer | https://aclanthology.org/2020.figlang-1.38 | Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media | We present a transformer-based sarcasm detection model that accounts for the context from the entire conversation thread for more robust predictions. Our model uses deep transformer layers to perform multi-head attentions among the target utterance and the relevant context in the thread. The context-aware models are ev... | false | [] | [] | null | null | null | We gratefully acknowledge the support of the AWS Machine Learning Research Awards (MLRA). Any contents in this material are those of the authors and do not necessarily reflect the views of AWS. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
klementiev-roth-2006-weakly | https://aclanthology.org/P06-1103 | Weakly Supervised Named Entity Transliteration and Discovery from Multilingual Comparable Corpora | Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised data. However, many languages lack such resources. This paper presents an (almost) unsupervised learning algorithm for automatic discovery of ... | false | [] | [] | null | null | null | We thank Richard Sproat, ChengXiang Zhai, and Kevin Small for their useful feedback during this work, and the anonymous referees for their helpful comments. This research is supported by the Advanced Research and Development Activity (ARDA)'s Advanced Question Answering for Intelligence (AQUAINT) Program and a DOI gran... | 2006 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
costa-etal-2016-mapping | https://aclanthology.org/2016.gwc-1.36 | Mapping and Generating Classifiers using an Open Chinese Ontology | In languages such as Chinese, classifiers (CLs) play a central role in the quantification of noun-phrases. This can be a problem when generating text from input that does not specify the classifier, as in machine translation (MT) from English to Chinese. Many solutions to this problem rely on dictionaries of noun-CL pa... | false | [] | [] | null | null | null | This research was supported in part by the MOE Tier 2 grant That's what you meant: a Rich Representation for Manipulation of Meaning (MOE ARC41/13). | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
bernier-colborne-drouin-2016-evaluation-distributional | https://aclanthology.org/W16-4707 | Evaluation of distributional semantic models: a holistic approach | We investigate how both model-related factors and application-related factors affect the accuracy of distributional semantic models (DSMs) in the context of specialized lexicography, and how these factors interact. This holistic approach to the evaluation of DSMs provides valuable guidelines for the use of these models... | false | [] | [] | null | null | null | This work was supported by the Social Sciences and Humanities Research Council (SSHRC) of Canada. | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
tong-etal-2021-learning | https://aclanthology.org/2021.acl-long.487 | Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition | Few-shot Named Entity Recognition (NER) exploits only a handful of annotations to identify and classify named entity mentions. Prototypical network shows superior performance on few-shot NER. However, existing prototypical methods fail to differentiate rich semantics in other-class words, which will aggravate overfitti... | false | [] | [] | null | null | null | This work is supported by the National Key Research and Development Program of China (2018YFB1005100 and 2018YFB1005101) and NSFC Key Project (U1736204). This work is supported by National Engineering Laboratory for Cyberlearning and Intelligent Technology, Beijing Key Lab of Networked Multimedia and the Institute for ... | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
krishna-iyyer-2019-generating | https://aclanthology.org/P19-1224 | Generating Question-Answer Hierarchies | The process of knowledge acquisition can be viewed as a question-answer game between a student and a teacher in which the student typically starts by asking broad, open-ended questions before drilling down into specifics (Hintikka, 1981; Hakkarainen and Sintonen, 2002). This pedagogical perspective motivates a new way ... | false | [] | [] | null | null | null | We thank the anonymous reviewers for their insightful comments. In addition, we thank Nader Akoury, Ari Kobren, Tu Vu and the other members of the UMass NLP group for helpful comments on earlier drafts of the paper and suggestions on the paper's presentation. This work was supported in part by research awards from the ... | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
clark-curran-2006-partial | https://aclanthology.org/N06-1019 | Partial Training for a Lexicalized-Grammar Parser | We propose a solution to the annotation bottleneck for statistical parsing, by exploiting the lexicalized nature of Combinatory Categorial Grammar (CCG). The parsing model uses predicate-argument dependencies for training, which are derived from sequences of CCG lexical categories rather than full derivations. A simple... | false | [] | [] | null | null | null | null | 2006 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
alshenaifi-azmi-2020-faheem | https://aclanthology.org/2020.wanlp-1.29 | Faheem at NADI shared task: Identifying the dialect of Arabic tweet | This paper describes Faheem (adj. of understand), our submission to NADI (Nuanced Arabic Dialect Identification) shared task. With so many Arabic dialects being understudied due to the scarcity of the resources, the objective is to identify the Arabic dialect used in the tweet, at the country-level. We propose a machin... | false | [] | [] | null | null | null | null | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
nguyen-etal-2021-trankit | https://aclanthology.org/2021.eacl-demos.10 | Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing | We introduce Trankit, a lightweight Transformer-based Toolkit for multilingual Natural Language Processing (NLP). It provides a trainable pipeline for fundamental NLP tasks over 100 languages, and 90 pretrained pipelines for 56 languages. Built on a state-of-the-art pretrained language model, Trankit significantly outp... | false | [] | [] | null | null | null | Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, and Amelia Archer. 2019 | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
kurematsu-1993-automatic | https://aclanthology.org/1993.mtsummit-1.8 | Automatic Speech Translation at ATR | Since Graham Bell first invented the telephone in 1876, it has become an indispensable means for communications. We can easily communicate with others domestically as well as internationally. However, another great barrier has not been overcome yet; communications between people speaking different languages. An interpr... | false | [] | [] | null | null | null | null | 1993 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
van-der-meer-2013-dqf | https://aclanthology.org/2013.tc-1.8 | The DQF - industry best-practices, metrics and benchmarks for translation quality estimation | null | false | [] | [] | null | null | null | null | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
louis-nenkova-2014-verbose | https://aclanthology.org/E14-1067 | Verbose, Laconic or Just Right: A Simple Computational Model of Content Appropriateness under Length Constraints | Length constraints impose implicit requirements on the type of content that can be included in a text. Here we propose the first model to computationally assess if a text deviates from these requirements. Specifically, our model predicts the appropriate length for texts based on content types present in a snippet of co... | false | [] | [] | null | null | null | This work was partially supported by a NSF CA-REER 0953445 award. We also thank the anonymous reviewers for their comments. | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
valkenier-etal-2011-psycho | https://aclanthology.org/W11-4630 | Psycho-acoustically motivated formant feature extraction | Psycho-acoustical research investigates how human listeners are able to separate sounds that stem from different sources. This ability might be one of the reasons that human speech processing is robust to noise but methods that exploit this are, to our knowledge, not used in systems for automatic formant extraction or ... | false | [] | [] | null | null | null | BV was supported by STW grant DTF 7459, JDK was supported by NWO grant 634.000.432. The authors would like to thank Odette Scharenborg, Jennifer Spenader, Maria Niessen, Hedde van de Vooren and three anonymous reviewers for their useful comments on earlier versions of this manuscript. | 2011 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
popescu-2009-person | https://aclanthology.org/D09-1104 | Person Cross Document Coreference with Name Perplexity Estimates | The Person Cross Document Coreference systems depend on the context for making decisions on the possible coreferences between person name mentions. The amount of context required is a parameter that varies from corpora to corpora, which makes it difficult for usual disambiguation methods. In this paper we show that the... | false | [] | [] | null | null | null | The corpus used in this paper is Adige500k, a seven-year news corpus from an Italian local newspaper. The author thanks to all the people involved in the construction of Adige500k. | 2009 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
rita-etal-2020-lazimpa | https://aclanthology.org/2020.conll-1.26 | ``LazImpa'': Lazy and Impatient neural agents learn to communicate efficiently | Previous work has shown that artificial neural agents naturally develop surprisingly nonefficient codes. This is illustrated by the fact that in a referential game involving a speaker and a listener neural networks optimizing accurate transmission over a discrete channel, the emergent messages fail to achieve an optima... | false | [] | [] | null | null | null | We would like to thank Emmanuel Chemla, Marco Baroni, Eugene Kharitonov, and the anonymous reviewers for helpful comments and suggestions.This work was funded in part by the European Research Council (ERC-2011-AdG-295810 BOOT-PHON), the Agence Nationale pour la Recherche (ANR-17-EURE-0017 Frontcog, ANR-10-IDEX-0001-02 ... | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
weller-seppi-2020-rjokes | https://aclanthology.org/2020.lrec-1.753 | The rJokes Dataset: a Large Scale Humor Collection | Humor is a complicated language phenomenon that depends upon many factors, including topic, date, and recipient. Because of this variation, it can be hard to determine what exactly makes a joke humorous, leading to difficulties in joke identification and related tasks. Furthermore, current humor datasets are lacking in... | false | [] | [] | null | null | null | null | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
bicici-van-genabith-2013-cngl-grading | https://aclanthology.org/S13-2098 | CNGL: Grading Student Answers by Acts of Translation | We invent referential translation machines (RTMs), a computational model for identifying the translation acts between any two data sets with respect to a reference corpus selected in the same domain, which can be used for automatically grading student answers. RTMs make quality and semantic similarity judgments possibl... | true | [] | [] | Quality Education | null | null | This work is supported in part by SFI (07/CE/I1142) as part of the Centre for Next Generation Localisation (www.cngl.ie) at Dublin City University and in part by the European Commission through the QTLaunchPad FP7 project (No: 296347). We also thank the SFI/HEA Irish Centre for High-End Computing (ICHEC) for the provis... | 2013 | false | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false |
nyberg-etal-2002-deriving | https://link.springer.com/chapter/10.1007/3-540-45820-4_15 | Deriving semantic knowledge from descriptive texts using an MT system | null | false | [] | [] | null | null | null | null | 2002 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
morales-etal-2018-linguistically | https://aclanthology.org/W18-0602 | A Linguistically-Informed Fusion Approach for Multimodal Depression Detection | Automated depression detection is inherently a multimodal problem. Therefore, it is critical that researchers investigate fusion techniques for multimodal design. This paper presents the first ever comprehensive study of fusion techniques for depression detection. In addition, we present novel linguistically-motivated ... | true | [] | [] | Good Health and Well-Being | null | null | null | 2018 | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
jain-mausam-2016-knowledge | https://aclanthology.org/N16-1011 | Knowledge-Guided Linguistic Rewrites for Inference Rule Verification | A corpus of inference rules between a pair of relation phrases is typically generated using the statistical overlap of argument-pairs associated with the relations (e.g., PATTY, CLEAN). We investigate knowledge-guided linguistic rewrites as a secondary source of evidence and find that they can vastly improve the qualit... | false | [] | [] | null | null | null | Acknowledgments: We thank Ashwini Vaidya and the anonymous reviewers for their helpful suggestions and feedback. We thank Abhishek, Aditya, Ankit, Jatin, Kabir, and Shikhar for helping with the data annotation. This work was supported by Google language understanding and knowledge discovery focused research grants to M... | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
sokolova-etal-2008-telling | https://aclanthology.org/I08-1034 | The Telling Tail: Signals of Success in Electronic Negotiation Texts | We analyze the linguistic behaviour of participants in bilateral electronic negotiations, and discover that particular language characteristics are in contrast with face-to-face negotiations. Language patterns in the later part of electronic negotiation are highly indicative of the successful or unsuccessful outcome of... | true | [] | [] | Partnership for the goals | null | null | Partial support for this work came from the Natural Sciences and Engineering Research Council of Canada. | 2008 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | true |
jana-biemann-2021-investigation | https://aclanthology.org/2021.privatenlp-1.4 | An Investigation towards Differentially Private Sequence Tagging in a Federated Framework | To build machine learning-based applications for sensitive domains like medical, legal, etc. where the digitized text contains private information, anonymization of text is required for preserving privacy. Sequence tagging, e.g. as used for Named Entity Recognition (NER), can help to detect private information. However... | true | [] | [] | Peace, Justice and Strong Institutions | null | null | This research was funded by the German Federal Ministry of Education and Research (BMBF) as part of the HILANO project, ID 01IS18085C. | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | true | false |
fang-etal-2020-video2commonsense | https://aclanthology.org/2020.emnlp-main.61 | Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning | Captioning is a crucial and challenging task for video understanding. In videos that involve active agents such as humans, the agent's actions can bring about myriad changes in the scene. Observable changes such as movements, manipulations, and transformations of the objects in the scene, are reflected in conventional ... | false | [] | [] | null | null | null | The authors acknowledge support from the NSF Robust Intelligence Program project #1816039, the DARPA KAIROS program (LESTAT project), the DARPA SAIL-ON program, and ONR award N00014-20-1-2332. ZF, TG, YY thank the organizers and the participants of the Telluride Neuromorphic Cognition Workshop, especially the Machine C... | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
hossain-etal-2019-cnl | https://aclanthology.org/U19-1017 | CNL-ER: A Controlled Natural Language for Specifying and Verbalising Entity Relationship Models | The first step towards designing an information system is conceptual modelling where domain experts and knowledge engineers identify the necessary information together to build an information system. Entity relationship modelling is one of the most popular conceptual modelling techniques that represents an information ... | false | [] | [] | null | null | null | null | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
kumar-etal-2015-error | https://aclanthology.org/2015.mtsummit-papers.18 | Error-tolerant speech-to-speech translation | Recent efforts to improve two-way speech-to-speech translation (S2S) systems have focused on developing error detection and interactive error recovery capabilities. This article describes our current work on developing an eyes-free English-Iraqi Arabic S2S system that detects ASR errors and attempts to resolve them by ... | false | [] | [] | null | null | null | null | 2015 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
piccioni-zanchetta-2004-xterm | http://www.lrec-conf.org/proceedings/lrec2004/pdf/588.pdf | XTERM: A Flexible Standard-Compliant XML-Based Termbase Management System | This paper introduces XTerm, a Termbase management system (TBMS) currently under development at the Terminology Center of the School for Interpreters and Translators of the University of Bologna. The system is designed to be ISO and XML compliant and to provide a friendly environment for the insertion and visualization... | false | [] | [] | null | null | null | null | 2004 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
beigman-klebanov-etal-2010-vocabulary | https://aclanthology.org/P10-2047 | Vocabulary Choice as an Indicator of Perspective | We establish the following characteristics of the task of perspective classification: (a) using term frequencies in a document does not improve classification achieved with absence/presence features; (b) for datasets allowing the relevant comparisons, a small number of top features is found to be as effective as the fu... | false | [] | [] | null | null | null | null | 2010 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
chen-yang-2021-structure | https://aclanthology.org/2021.naacl-main.109 | Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs | ive conversation summarization has received much attention recently. However, these generated summaries often suffer from insufficient, redundant, or incorrect content, largely due to the unstructured and complex characteristics of human-human interactions. To this end, we propose to explicitly model the rich structure... | false | [] | [] | null | null | null | We would like to thank the anonymous reviewers for their helpful comments, and the members of Georgia Tech SALT group for their feedback. This work is supported in part by grants from Google, Amazon and Salesforce. | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
san-segundo-etal-2001-telephone | https://aclanthology.org/W01-1619 | A Telephone-Based Railway Information System for Spanish: Development of a Methodology for Spoken Dialogue Design | This methodology is similar to the Life-Cycle Model presented in (Bernsen, 1998) and (www.disc2.dk), but we incorporate the step "design by observation" where human-human interactions are analysed and we present measures to evaluate the different design alternatives at every step of the methodology. | false | [] | [] | null | null | null | null | 2001 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
zhang-clark-2010-fast | https://aclanthology.org/D10-1082 | A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model | We show that the standard beam-search algorithm can be used as an efficient decoder for the global linear model of Zhang and Clark (2008) for joint word segmentation and POS-tagging, achieving a significant speed improvement. Such decoding is enabled by: (1) separating full word features from partial word features so t... | false | [] | [] | null | null | null | We thank Canasai Kruengkrai for discussion on efficiency issues, and the anonymous reviewers for their suggestions. Yue Zhang and Stephen Clark are supported by the European Union Seventh Framework Programme (FP7-ICT-2009-4) under grant agreement no. 247762. | 2010 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
eskander-etal-2013-automatic-correction | https://aclanthology.org/W13-2301 | Automatic Correction and Extension of Morphological Annotations | For languages with complex morphologies, limited resources and tools, and/or lack of standard grammars, developing annotated resources can be a challenging task. Annotated resources developed under time/money constraints for such languages tend to tradeoff depth of representation with degree of noise. We present two me... | false | [] | [] | null | null | null | This paper is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under contracts No. HR0011-12-C-0014 and HR0011-11-C-0145. Any opinions, findings and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of DARPA. We als... | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
sokolova-schramm-2011-building | https://aclanthology.org/R11-1111 | Building a Patient-based Ontology for User-written Web Messages | We introduce an ontology that is representative of health discussions and vocabulary used by the general public. The ontology structure is built upon general categories of information that patients use when describing their health in clinical encounters. The pilot study shows that the general structure makes the ontolo... | true | [] | [] | Good Health and Well-Being | null | null | This work is in part funded by a NSERC Discovery grant available to the first author and The Ottawa Hospital Academic Medical Organizationto the second author. | 2011 | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
l-2014-keynote | https://aclanthology.org/W14-5110 | Keynote Lecture 2: Text Analysis for identifying Entities and their mentions in Indian languages | The talk deals with the analysis of text at syntactic-semantic level to identify a common feature set which can work across various Indian languages for recognizing named entities and their mentions. The development of corpora and the method adopted to develop each module is discussed. The talk includes the evaluation ... | false | [] | [] | null | null | null | null | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
nn-2007-briefly-noted | https://aclanthology.org/J07-4008 | Briefly Noted/Publications Received | This comprehensive NLP textbook is strongly algorithm-oriented and designed for talented computer programmers who might or might not be linguists. The book occupies a market niche in between that of Jurafsky and Martin (2008) and my own humble effort (Covington 1994); it resembles the latter in approach and the former ... | false | [] | [] | null | null | null | null | 2007 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
fischer-1997-formal | https://aclanthology.org/W97-0804 | Formal redundancy and consistency checking rules for the lexicai database WordNet 1.5 | In a manually built-up semantic net in which not the concept definitions automatically determine the position of the concepts in the net, but rather the links coded by the lexicographers, the formal properties of the encoded attributes and relations provide necessary but not sufficient conditions to support maintenance... | false | [] | [] | null | null | null | I am indebted to Melina Alexa and John Bateman for encouraging this work, and to them both and Wiebke Mt~hr, Renato Reinau, Lothar Rostek, and Ingrid Schmidt for valuable help to improve this paper. | 1997 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
barrena-etal-2016-alleviating | https://aclanthology.org/P16-1179 | Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation | Named Entity Disambiguation (NED) algorithms disambiguate mentions of named entities with respect to a knowledge-base, but sometimes the context might be poor or misleading. In this paper we introduce the acquisition of two kinds of background information to alleviate that problem: entity similarity and selectional pre... | false | [] | [] | null | null | null | We thank the reviewers for their suggestions. This work was partially funded by MINECO (TUNER project, TIN2015-65308-C5-1-R). The IXA group | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
xie-etal-2021-zjuklab | https://aclanthology.org/2021.semeval-1.108 | ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning | This paper presents our systems for the three Subtasks of SemEval Task4: Reading Comprehension of Abstract Meaning (ReCAM). We explain the algorithms used to learn our models and the process of tuning the algorithms and selecting the best model. Inspired by the similarity of the ReCAM task and the language pre-training... | false | [] | [] | null | null | null | We want to express gratitude to the anonymous reviewers for their hard work and kind comments.This work is funded by 2018YFB1402800/NSFC91846204/NSFCU19B2027. | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
gimenez-marquez-2006-low | https://aclanthology.org/P06-2037 | Low-Cost Enrichment of Spanish WordNet with Automatically Translated Glosses: Combining General and Specialized Models | This paper studies the enrichment of Spanish WordNet with synset glosses automatically obtained from the English Word-Net glosses using a phrase-based Statistical Machine Translation system. We construct the English-Spanish translation system from a parallel corpus of proceedings of the European Parliament, and study h... | false | [] | [] | null | null | null | This research has been funded by the Spanish Ministry of Science and Technology (ALIADO TIC2002-04447-C02) and the Spanish Ministry of Education and Science (TRANGRAM, TIN2004-07925-C03-02). Our research group, TALP Research Center, is recognized as a Quality Research Group (2001 SGR 00254) by DURSI, the Research Depar... | 2006 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
vijay-etal-2018-corpus | https://aclanthology.org/N18-4018 | Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text | Emotion Prediction is a Natural Language Processing (NLP) task dealing with detection and classification of emotions in various monolingual and bilingual texts. While some work has been done on code-mixed social media text and in emotion prediction separately, our work is the first attempt which aims at identifying the... | false | [] | [] | null | null | null | null | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
schafer-burtenshaw-2019-offence | https://aclanthology.org/R19-1125 | Offence in Dialogues: A Corpus-Based Study | In recent years an increasing number of analyses of offensive language has been published, however, dealing mainly with the automatic detection and classification of isolated instances. In this paper we aim to understand the impact of offensive messages in online conversations diachronically, and in particular the chan... | true | [] | [] | Peace, Justice and Strong Institutions | null | null | null | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | true | false |
minkov-cohen-2012-graph | https://aclanthology.org/W12-4104 | Graph Based Similarity Measures for Synonym Extraction from Parsed Text | We learn graph-based similarity measures for the task of extracting word synonyms from a corpus of parsed text. A constrained graph walk variant that has been successfully applied in the past in similar settings is shown to outperform a state-of-the-art syntactic vectorbased approach on this task. Further, we show that... | false | [] | [] | null | null | null | null | 2012 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
yin-neubig-2018-tranx | https://aclanthology.org/D18-2002 | TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation | We present TRANX, a transition-based neural semantic parser that maps natural language (NL) utterances into formal meaning representations (MRs). TRANX uses a transition system based on the abstract syntax description language for the target MR, which gives it two major advantages: (1) it is highly accurate, using info... | false | [] | [] | null | null | null | This material is based upon work supported by the National Science Foundation under Grant No. 1815287. | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
grishman-1976-survey | https://aclanthology.org/J76-2006 | A Survey of Syntactic Analysis Procedures for Natural Language | FYris survey was prepared under contract No. N00014-67A-0467-0032 w i t h the Office of N a v a l Research, and was o r i g i n a l l y i s s u e d as Report No. NSO-8 of the Courant Institute of Mathematical Sciences, New York ~niversity. | false | [] | [] | null | null | null | null | 1976 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
bai-etal-2013-translating | https://aclanthology.org/I13-1103 | Translating Chinese Unknown Words by Automatically Acquired Templates | In this paper, we present a translation template model to translate Chinese unknown words. The model exploits translation templates, which are extracted automatically from a word-aligned parallel corpus, to translate unknown words. The translation templates are designed in accordance with the structure of unknown words... | false | [] | [] | null | null | null | null | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
wu-1995-trainable | https://aclanthology.org/W95-0106 | Trainable Coarse Bilingual Grammars for Parallel Text Bracketing | We describe two new strategies to automatic bracketing of parallel corpora, with particular application to languages where prior grammar resources are scarce: (1) coarse bilingual grammars, and (2) unsupervised training of such grammars via EM (expectation-maximization). Both methods build upon a formalism we recently ... | false | [] | [] | null | null | null | null | 1995 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
laokulrat-etal-2018-incorporating | https://aclanthology.org/L18-1477 | Incorporating Semantic Attention in Video Description Generation | Automatically generating video description is one of the approaches to enable computers to deeply understand videos, which can have a great impact and can be useful to many other applications. However, generated descriptions by computers often fail to correctly mention objects and actions appearing in the videos. This ... | false | [] | [] | null | null | null | This paper is based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO). We also would like to thank the anonymous reviewers for their insightful comments and suggestions, which were helpful in improving the quality of the paper. | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
walker-etal-1992-case | https://aclanthology.org/C92-2122 | A Case Study of Natural Language Customisation: The Practical Effects of World Knowledge | This paper proposes a methodology for the eustomisation of natural language interfaces to information retrieval applications. We report a field study in which we tested this methodology by customising a commercially available natural language system to a large database of sales and marketing information. We note that i... | false | [] | [] | null | null | null | null | 1992 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
liu-etal-2013-tuning | https://aclanthology.org/I13-1032 | Tuning SMT with a Large Number of Features via Online Feature Grouping | In this paper, we consider the tuning of statistical machine translation (SMT) models employing a large number of features. We argue that existing tuning methods for these models suffer serious sparsity problems, in which features appearing in the tuning data may not appear in the testing data and thus those features m... | false | [] | [] | null | null | null | We would like to thank our colleagues in both HIT and NICT for insightful discussions, and three anonymous reviewers for many invaluable comments and suggestions to improve our paper. This work is supported by National Natural Science Foundation of China (61173073, 61100093, 61073130, 61272384), and the Key Project of ... | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ying-etal-2021-longsumm | https://aclanthology.org/2021.sdp-1.12 | LongSumm 2021: Session based automatic summarization model for scientific document | Most summarization task focuses on generating relatively short summaries. Such a length constraint might not be appropriate when summarizing scientific work. The LongSumm task needs participants generate long summary for scientific document. This task usual can be solved by language model. But an important problem is t... | true | [] | [] | Industry, Innovation and Infrastructure | null | null | null | 2021 | false | false | false | false | false | false | false | false | true | false | false | false | false | false | false | false | false |
brugman-etal-2008-common | http://www.lrec-conf.org/proceedings/lrec2008/pdf/330_paper.pdf | A Common Multimedia Annotation Framework for Cross Linking Cultural Heritage Digital Collections | In the context of the CATCH research program that is currently carried out at a number of large Dutch cultural heritage institutions our ambition is to combine and exchange heterogeneous multimedia annotations between projects and institutions. As first step we designed an Annotation Meta Model: a simple but powerful R... | false | [] | [] | null | null | null | null | 2008 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
wilton-1973-bilingual | https://aclanthology.org/C73-1029 | Bilingual Lexicography: Computer-Aided Editing | Bilingual dictionaries present special difficulties for the lexicographer who is determined to employ the computer to facilitate his editorial work. In a sense, these dictionaries include evdrything contained in a normal monolingual edition and a good deal more. The singlelanguage definition dictionary is consulted as ... | false | [] | [] | null | null | null | null | 1973 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
jing-2000-sentence | https://aclanthology.org/A00-1043 | Sentence Reduction for Automatic Text Summarization | We present a novel sentence reduction system for automatically removing extraneous phrases from sentences that are extracted from a document for summarization purpose. The system uses multiple sources of knowledge to decide which phrases in an extracted sentence can be removed, including syntactic knowledge, context in... | false | [] | [] | null | null | null | This material is based upon work supported by the National Science Foundation under Grant No. IRI 96-19124 and IRI 96-18797. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. | 2000 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
shirani-etal-2021-psed | https://aclanthology.org/2021.findings-acl.377 | PSED: A Dataset for Selecting Emphasis in Presentation Slides | Emphasizing words in presentation slides allows viewers to direct their gaze to focal points without reading the entire slide, retaining their attention on the speaker. Despite many studies on automatic slide generation, few have addressed helping authors choose which words to emphasize. Motivated by this, we study the... | false | [] | [] | null | null | null | We thank the reviewers for their thoughtful comments and efforts towards improving our work. We also thank Andrew Greene for his help in creating the corpus. | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
christodoulopoulos-etal-2012-turning | https://aclanthology.org/W12-1913 | Turning the pipeline into a loop: Iterated unsupervised dependency parsing and PoS induction | Most unsupervised dependency systems rely on gold-standard Part-of-Speech (PoS) tags, either directly, using the PoS tags instead of words, or indirectly in the back-off mechanism of fully lexicalized models (Headden et al., 2009) . | false | [] | [] | null | null | null | null | 2012 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
sheng-etal-2021-nice | https://aclanthology.org/2021.naacl-main.60 | ``Nice Try, Kiddo'': Investigating Ad Hominems in Dialogue Responses | Ad hominem attacks are those that target some feature of a person's character instead of the position the person is maintaining. These attacks are harmful because they propagate implicit biases and diminish a person's credibility. Since dialogue systems respond directly to user input, it is important to study ad homine... | true | [] | [] | Peace, Justice and Strong Institutions | null | null | We would like to thank members of the PLUS Lab and the anonymous reviewers for the helpful feedback, and Jason Teoh for the many discussions. This paper is supported in part by NSF IIS 1927554 and by the CwC program under Con-tract W911NF-15-1-0543 with the US Defense Advanced Research Projects Agency (DARPA). The view... | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | true | false |
zhou-etal-2013-statistical | https://aclanthology.org/P13-1084 | Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization | Community question answering (CQA) has become an increasingly popular research topic. In this paper, we focus on the problem of question retrieval. Question retrieval in CQA can automatically find the most relevant and recent questions that have been solved by other users. However, the word ambiguity and word mismatch ... | false | [] | [] | null | null | null | This work was supported by the National Natural Science Foundation of China (No. 61070106, No. 61272332 and No. 61202329) We thank the anonymous reviewers for their insightful comments. We also thank Dr. Gao Cong for providing the data set and Dr. Li Cai for some discussion. | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
gokhman-etal-2012-search | https://aclanthology.org/W12-0404 | In Search of a Gold Standard in Studies of Deception | In this study, we explore several popular techniques for obtaining corpora for deception research. Through a survey of traditional as well as non-gold standard creation approaches, we identify advantages and limitations of these techniques for webbased deception detection and offer crowdsourcing as a novel avenue towar... | true | [] | [] | Peace, Justice and Strong Institutions | null | null | This work was supported in part by National Science Foundation Grant NSCC-0904913, and the Jack Kent Cooke Foundation. We also thank the EACL reviewers for their insightful comments, suggestions and advice on various aspects of this work. | 2012 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | true | false |
sen-etal-2018-tempo | https://aclanthology.org/N18-1026 | Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction | Search task extraction in information retrieval is the process of identifying search intents over a set of queries relating to the same topical information need. Search tasks may potentially span across multiple search sessions. Most existing research on search task extraction has focused on identifying tasks within a ... | false | [] | [] | null | null | null | This work was supported by Science Foundation Ireland as part of the ADAPT Centre (Grant No. 13/RC/2106) (www.adaptcentre.ie). | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
xu-etal-2018-unpaired | https://aclanthology.org/P18-1090 | Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach | The goal of sentiment-to-sentiment "translation" is to change the underlying sentiment of a sentence while keeping its content. The main challenge is the lack of parallel data. To solve this problem, we propose a cycled reinforcement learning method that enables training on unpaired data by collaboration between a neut... | false | [] | [] | null | null | null | This work was supported in part by National Natural Science Foundation of China (No. 61673028), National High Technology Research and Development Program of China (863 Program, No. 2015AA015404), and the National Thousand Young Talents Program. Xu Sun is the corresponding author of this paper. | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
delpeuch-preller-2014-natural | https://aclanthology.org/W14-1407 | From Natural Language to RDF Graphs with Pregroups | We define an algorithm translating natural language sentences to the formal syntax of RDF, an existential conjunctive logic widely used on the Semantic Web. Our translation is based on pregroup grammars, an efficient type-logical grammatical framework with a transparent syntax-semantics interface. We introduce a restri... | false | [] | [] | null | null | null | This work was supported by the École Normale Supérieure and the LIRMM. The first author wishes to thank David Naccache, Alain Lecomte, Antoine Amarilli, Hugo Vanneuville and both authors the members of the TEXTE group at the LIRMM for their interest in the project. | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
lager-1998-logic | https://aclanthology.org/W98-1616 | Logic for Part-of-Speech Tagging and Shallow Parsing | null | false | [] | [] | null | null | null | T h is w o rk w a s c o n d u c te d w ith in th e T a g L o g P ro je c t, s u p p o rte d b y N IJT E K a n d H S F R . I am g ra te fu l to m y c o lle a g u e s a t U p p sa la U n iv e rsity a n d G ö te b o rg U n iv e rs ity fo r u se fu l d isc u ssio n s , a n d in p a rtic u la r to J o a k im N iv re in G ö ... | 1998 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
wang-etal-2018-denoising | https://aclanthology.org/W18-6314 | Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection | Measuring domain relevance of data and identifying or selecting well-fit domain data for machine translation (MT) is a well-studied topic, but denoising is not yet. Denoising is concerned with a different type of data quality and tries to reduce the negative impact of data noise on MT training, in particular, neural MT... | false | [] | [] | null | null | null | The authors would like to thank George Foster for his help refine the paper and advice on various technical isses in the paper, Thorsten Brants for his earlier work on the topic, Christian Buck for his help with the Paracrawl data, Yuan Cao for his valuable comments and suggestions on the paper, and the anonymous revie... | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
templeton-burger-1983-problems | https://aclanthology.org/A83-1002 | Problems in Natural-Language Interface to DBMS With Examples From EUFID | For five years the End-User Friendly Interface to Data management (EUFID) project team at System Development Corporation worked on the design and implementation of a Natural-Language Interface (NLI) system that was to be independent of both the application and the database management system. In this paper we describe a... | false | [] | [] | null | null | null | We would like to acknowledge | 1983 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
kar-etal-2018-folksonomication | https://aclanthology.org/C18-1244 | Folksonomication: Predicting Tags for Movies from Plot Synopses using Emotion Flow Encoded Neural Network | Folksonomy of movies covers a wide range of heterogeneous information about movies, like the genre, plot structure, visual experiences, soundtracks, metadata, and emotional experiences from watching a movie. Being able to automatically generate or predict tags for movies can help recommendation engines improve retrieva... | false | [] | [] | null | null | null | This work was partially supported by the National Science Foundation under grant number 1462141 and by the U.S. Department of Defense under grant W911NF-16-1-0422. | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
thomas-1980-computer | https://aclanthology.org/P80-1022 | The Computer as an Active Communication Medium | goals r4imetacomments that direct the conversation [~ Communication is often conceived of in basically the following terms. A person has some idea which he or she wants to communicate to a second person. The first person translates that idea into some symbol system which is transmitted through some medium to the receiv... | false | [] | [] | null | null | null | null | 1980 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
joshi-srinivas-1994-disambiguation | https://aclanthology.org/C94-1024 | Disambiguation of Super Parts of Speech (or Supertags): Almost Parsing | In a lexicalized grammar Ibrnlalisni such as LexicMized Tree-Adjoining (h'~unmar (I3'AG), each lexicM item is associated with at least one elementary structure (supertag) that localizes syntactic a.nd semantic dependencies. Thus a parser for a lexicalized grammar must search a large set of supertags to choose the right... | false | [] | [] | null | null | null | null | 1994 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
dugast-etal-2008-relearn | https://aclanthology.org/W08-0327 | Can we Relearn an RBMT System? | This paper describes SYSTRAN submissions for the shared task of the third Workshop on Statistical Machine Translation at ACL. Our main contribution consists in a French-English statistical model trained without the use of any human-translated parallel corpus. In substitution, we translated a monolingual corpus with SYS... | false | [] | [] | null | null | null | null | 2008 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
shutova-2009-sense | https://aclanthology.org/P09-3001 | Sense-based Interpretation of Logical Metonymy Using a Statistical Method | The use of figurative language is ubiquitous in natural language texts and it is a serious bottleneck in automatic text understanding. We address the problem of interpretation of logical metonymy, using a statistical method. Our approach originates from that of Lapata and Lascarides (2003), which generates a list of no... | false | [] | [] | null | null | null | I would like to thank Simone Teufel and Anna Korhonen for their valuable feedback on this project and my anonymous reviewers whose comments helped to improve the paper. I am also very grateful to Cambridge Overseas Trust who made this research possible by funding my studies. | 2009 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
wilks-1993-corpora | https://aclanthology.org/1993.mtsummit-1.12 | Corpora and Machine Translation | The paper discusses the benefits of the world-wide move in recent years towards the use of corpora in natural language processing. The spoken paper will discuss a range of trends in that area, but this version concentrates on one extreme example of work based only on corpora and statistics: the IBM approach to machine ... | false | [] | [] | null | null | null | Acknowledgements: James Pustejovsky, Bob Ingria, Bran Boguraev, Sergei Nirenburg, Ted Dunning and others in the CRL natural language processing group. | 1993 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
luce-etal-2016-cogalex | https://aclanthology.org/W16-5315 | CogALex-V Shared Task: LOPE | This paper attempts the answer two questions posed by the CogALex shared task: How to determine if two words are semantically related and, if they are related, which semantic relation holds between them. We present a simple, effective approach to the first problem, using word vectors to calculate similarity, and a naiv... | false | [] | [] | null | null | null | null | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
yoshimura-etal-2020-reference | https://aclanthology.org/2020.coling-main.573 | SOME: Reference-less Sub-Metrics Optimized for Manual Evaluations of Grammatical Error Correction | We propose a reference-less metric trained on manual evaluations of system outputs for grammatical error correction. Previous studies have shown that reference-less metrics are promising; however, existing metrics are not optimized for manual evaluation of the system output because there is no dataset of system output ... | false | [] | [] | null | null | null | This work was supported by JSPS KAKENHI Grant Number JP20K19861. We would like to thank Hiroki Asano for giving the implementation code and Keisuke Sakaguchi for the system output of JFLEG. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
michel-etal-2020-exploring | https://aclanthology.org/2020.lrec-1.313 | Exploring Bilingual Word Embeddings for Hiligaynon, a Low-Resource Language | This paper investigates the use of bilingual word embeddings for mining Hiligaynon translations of English words. There is very little research on Hiligaynon, an extremely low-resource language of Malayo-Polynesian origin with over 9 million speakers in the Philippines (we found just one paper). We use a publicly avail... | false | [] | [] | null | null | null | We would like to thank the reviewers for their valuable input. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement № 640550). | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
zhang-zong-2013-learning | https://aclanthology.org/P13-1140 | Learning a Phrase-based Translation Model from Monolingual Data with Application to Domain Adaptation | Currently, almost all of the statistical machine translation (SMT) models are trained with the parallel corpora in some specific domains. However, when it comes to a language pair or a different domain without any bilingual resources, the traditional SMT loses its power. Recently, some research works study the unsuperv... | false | [] | [] | null | null | null | The research work has been funded by the Hi-Tech Research and Development Program ("863" Program) of China under Grant No. 2011AA01A207, 2012AA011101 and 2012AA011102, and also supported by the Key Project of Knowledge Innovation of Program of Chinese Academy of Sciences under Grant No. KGZD-EW-501. We would also like ... | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
grimm-cimiano-2021-biquad | https://aclanthology.org/2021.starsem-1.10 | BiQuAD: Towards QA based on deeper text understanding | Recent question answering and machine reading benchmarks frequently reduce the task to one of pinpointing spans within a certain text passage that answers the given question. Typically, these systems are not required to actually understand the text on a deeper level that allows for more complex reasoning on the informa... | false | [] | [] | null | null | null | We would like to thank the anonymous reviewers for their valuable feedback. | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
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