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pogodalla-2000-generation-lambek
https://aclanthology.org/C00-2091
Generation, Lambek Calculus, Montague's Semantics and Semantic Proof Nets
Most of the studies in the framework of Lambek calculus have considered the parsing process and ignored the generation process. This paper wants to rely on the close link between Lambek calculus and linear logic to present a method for the generation process with semantic proof nets. We express the process as a proof s...
false
[]
[]
null
null
null
I would like to thank Christian Retoré who pointed out to me Girard's algebraic interpretation of the cut elimination, and the anonymous reviewers for their helpful comments.
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yang-etal-2021-multilingual
https://aclanthology.org/2021.acl-short.31
Multilingual Agreement for Multilingual Neural Machine Translation
Although multilingual neural machine translation (MNMT) enables multiple language translations, the training process is based on independent multilingual objectives. Most multilingual models can not explicitly exploit different language pairs to assist each other, ignoring the relationships among them. In this work, we...
false
[]
[]
null
null
null
This work was supported in part by the National Natural Science Foundation of China (Grant Nos.U1636211, 61672081, 61370126), the 2020 Tencent WeChat Rhino-Bird Focused Research Program, and the Fund of the State Key Laboratory of Software Development Environment (Grant No.SKLSDE2019ZX-17).
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nguyen-etal-2020-vietnamese
https://aclanthology.org/2020.coling-main.233
A Vietnamese Dataset for Evaluating Machine Reading Comprehension
Over 97 million people speak Vietnamese as their native language in the world. However, there are few research studies on machine reading comprehension (MRC) for Vietnamese, the task of understanding a text and answering questions related to it. Due to the lack of benchmark datasets for Vietnamese, we present the Vietn...
false
[]
[]
null
null
null
We would like to thank the reviewers' comments which are helpful for improving the quality of our work. In addition, we would like to thank our workers for their cooperation.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chudy-etal-2013-tmuse
https://aclanthology.org/I13-2011
Tmuse: Lexical Network Exploration
We demonstrate an online application to explore lexical networks. Tmuse displays a 3D interactive graph of similar words, whose layout is based on the proxemy between vertices of synonymy and translation networks. Semantic themes of words related to a query are outlined, and projected across languages. The application ...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chu-etal-2020-solving
https://aclanthology.org/2020.emnlp-main.471
Solving Historical Dictionary Codes with a Neural Language Model
We solve difficult word-based substitution codes by constructing a decoding lattice and searching that lattice with a neural language model. We apply our method to a set of enciphered letters exchanged between US Army General James Wilkinson and agents of the Spanish Crown in the late 1700s and early 1800s, obtained fr...
false
[]
[]
null
null
null
We would like to thank Johnny Fountain and Kevin Chatupornpitak of Karga7, and the staff who transcribed data from the Library of Congress, who provided scans of the original documents. We would also like to thank the anonymous reviewers for many helpful suggestions.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
macklovitch-1992-tagger
https://aclanthology.org/1992.tmi-1.10
Where the tagger falters
Statistical n-gram taggers like that of [Church 1988] or [Foster 1991] assign a part-ofspeech label to each word in a text on the basis of probability estimates that are automatically derived from a large, already tagged training corpus. This paper examines the grammatical constructions which cause such taggers to falt...
false
[]
[]
null
null
null
This paper is based on George Foster's excellent Master's thesis. I am indebted to him, both for his explanations of points in the thesis and for kindly providing me with the supplementary data on error frequencies. All responsibility for errors of interpretation is mine alone. Pierre Isabelle, Michel Simard, Marc Dyme...
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yang-etal-2008-resolving
https://aclanthology.org/I08-2098
Resolving Ambiguities of Chinese Conjunctive Structures by Divide-and-conquer Approaches
This paper presents a method to enhance a Chinese parser in parsing conjunctive structures. Long conjunctive structures cause long-distance dependencies and tremendous syntactic ambiguities. Pure syntactic approaches hardly can determine boundaries of conjunctive phrases properly. In this paper, we propose a divide-and...
false
[]
[]
null
null
null
This research was supported in part by National Digital Archives Program (NDAP, Taiwan) sponsored by the National Science Council of Taiwan under NSC Grants: NSC95-2422-H-001-031-.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
blom-1998-statistical
https://aclanthology.org/W98-1617
A statistical and structural approach to extracting collocations likely to be of relevance in relation to an LSP sub-domain text
D e p a rtm e n t o f L e x ic o g ra p h y a n d C o m p u ta tio n a l L in g u istic s T h e A a rh u s B u s in e s s S ch o o l b b @ ln g .h h a .d k
false
[]
[]
null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hieber-riezler-2015-bag
https://aclanthology.org/N15-1123
Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval
Current approaches to cross-lingual information retrieval (CLIR) rely on standard retrieval models into which query translations by statistical machine translation (SMT) are integrated at varying degree. In this paper, we present an attempt to turn this situation on its head: Instead of the retrieval aspect, we emphasi...
false
[]
[]
null
null
null
This research was supported in part by DFG grant RI-2221/1-2 "Weakly Supervised Learning of Cross-Lingual Systems".
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
andreevskaia-bergler-2008-specialists
https://aclanthology.org/P08-1034
When Specialists and Generalists Work Together: Overcoming Domain Dependence in Sentiment Tagging
This study presents a novel approach to the problem of system portability across different domains: a sentiment annotation system that integrates a corpus-based classifier trained on a small set of annotated in-domain data and a lexicon-based system trained on Word-Net. The paper explores the challenges of system porta...
false
[]
[]
null
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null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
prickett-etal-2018-seq2seq
https://aclanthology.org/W18-5810
Seq2Seq Models with Dropout can Learn Generalizable Reduplication
Natural language reduplication can pose a challenge to neural models of language, and has been argued to require variables (Marcus et al., 1999). Sequence-to-sequence neural networks have been shown to perform well at a number of other morphological tasks (Cotterell et al., 2016), and produce results that highly correl...
false
[]
[]
null
null
null
The authors would like to thank the members of the UMass Sound Workshop, the members of the UMass NLP Reading Group, Tal Linzen, and Ryan Cotterell for helpful feedback and discussion. Additionally, we would like to thank the SIGMORPHON reviewers for their comments. This work was supported by NSF Grant #1650957.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
simoes-etal-2016-enriching
https://aclanthology.org/L16-1426
Enriching a Portuguese WordNet using Synonyms from a Monolingual Dictionary
In this article we present an exploratory approach to enrich a WordNet-like lexical ontology with the synonyms present in a standard monolingual Portuguese dictionary. The dictionary was converted from PDF into XML and senses were automatically identified and annotated. This allowed us to extract them, independently of...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
levin-2018-annotation
https://aclanthology.org/W18-4901
Annotation Schemes for Surface Construction Labeling
In this talk I will describe the interaction of linguistics and language technologies in Surface Construction Labeling (SCL) from the perspective of corpus annotation tasks such as definiteness, modality, and causality. Linguistically, following Construction Grammar, SCL recognizes that meaning may be carried by morphe...
false
[]
[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
iwamoto-yukawa-2020-rijp
https://aclanthology.org/2020.semeval-1.10
RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection
This paper describes the model proposed and submitted by our RIJP team to SemEval 2020 Task1: Unsupervised Lexical Semantic Change Detection. In the model, words are represented by Gaussian distributions. For Subtask 1, the model achieved average scores of 0.51 and 0.70 in the evaluation and post-evaluation processes, ...
false
[]
[]
null
null
null
We gratefully acknowledge Kwangjin Jeong for valuable discussions and the anonymous reviewers for useful comments.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jones-1994-exploring
https://aclanthology.org/C94-1069
Exploring the Role of Punctuation in Parsing Natural Text
Few, if any, current NLP systems make any significant use of punctuation. Intuitively, a treatment of lrunctuation seems necessary to the analysis and production of text. Whilst this has been suggested in the fiekls of discourse strnetnre, it is still nnclear whether punctuation can help in the syntactic field. This in...
false
[]
[]
null
null
null
This work was carried out under Esprit Acquilex-II, lIRA 7315, and an ESRC l/,eseareh Stndentship, 1/.004293:1,1171. '['hanks tbr instrtetive and helpful comments to Ted Briseoe, John Carroll, Rol)ert Dale, Ilenry 'Fhompson and anonymous CoLing reviewers.
1994
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wachsmuth-etal-2018-argumentation
https://aclanthology.org/C18-1318
Argumentation Synthesis following Rhetorical Strategies
Persuasion is rarely achieved through a loose set of arguments alone. Rather, an effective delivery of arguments follows a rhetorical strategy, combining logical reasoning with appeals to ethics and emotion. We argue that such a strategy means to select, arrange, and phrase a set of argumentative discourse units. In th...
false
[]
[]
null
null
null
Acknowledgments Thanks to Yamen Ajjour, Wei-Fan Chen, Yulia Clausen, Debopam Das, Erdan Genc, Tim Gollub, Yulia Grishina, Erik Hägert, Johannes Kiesel, Lukas Paschen, Martin Potthast, Robin Schäfer, Constanze Schmitt, Uladzimir Sidarenka, Shahbaz Syed, and Michael Völske for taking part in our study.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
guo-etal-2017-effective
https://aclanthology.org/E17-1011
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?
As one of the most important test of China, Gaokao is designed to be difficult enough to distinguish the excellent high school students. In this work, we detailed the Gaokao History Multiple Choice Questions(GKHMC) and proposed two different approaches to address them using various resources. One approach is based on e...
true
[]
[]
Quality Education
null
null
We thank for the anonymous reviewers for helpful comments. This work was supported by the National High Technology Development 863 Program of China (No.2015AA015405) and the Natural Science Foundation of China (No.61533018). And this research work was also supported by Google through focused research awards program.
2017
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
blekhman-etal-1997-pars
https://aclanthology.org/1997.mtsummit-papers.16
PARS/U for Windows: The World's First Commercial English-Ukrainian and Ukrainian-English Machine Translation System
The paper describes the PARS/U Ukrainian-English bidirectional MT system by Lingvistica '93 Co. PARS/U translates MS Word and HTML files as well as screen Helps. It features an easy-to-master dictionary updating program, which permits the user to customize the system by means of running subject-area oriented texts thro...
false
[]
[]
null
null
null
null
1997
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ding-etal-2014-using
https://aclanthology.org/D14-1148
Using Structured Events to Predict Stock Price Movement: An Empirical Investigation
It has been shown that news events influence the trends of stock price movements. However, previous work on news-driven stock market prediction rely on shallow features (such as bags-of-words, named entities and noun phrases), which do not capture structured entity-relation information, and hence cannot represent compl...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their constructive comments, and gratefully acknowledge the support of the National Basic Research Program (973 Program) of China via Grant 2014CB340503, the National Natural Science Foundation of China (NSFC) via Grant 61133012 and 61202277, the Singapore Ministry of Education (MOE...
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
deleger-etal-2014-annotation
http://www.lrec-conf.org/proceedings/lrec2014/pdf/552_Paper.pdf
Annotation of specialized corpora using a comprehensive entity and relation scheme
Annotated corpora are essential resources for many applications in Natural Language Processing. They provide insight on the linguistic and semantic characteristics of the genre and domain covered, and can be used for the training and evaluation of automatic tools. In the biomedical domain, annotated corpora of English ...
false
[]
[]
null
null
null
This work was supported by the French National Agency for Research under grants CABeRneT 3 (ANR-13-JCJC) and Accordys 4 (ANR-12-CORD-007-03).
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hinrichs-etal-2010-weblicht-web
https://aclanthology.org/P10-4005
WebLicht: Web-Based LRT Services for German
This software demonstration presents WebLicht (short for: Web-Based Linguistic Chaining Tool), a webbased service environment for the integration and use of language resources and tools (LRT). WebLicht is being developed as part of the D-SPIN project 1. We-bLicht is implemented as a web application so that there is no ...
false
[]
[]
null
null
null
WebLicht is the product of a combined effort within the D-SPIN projects (www.d-spin.org). Currently, partners include:Seminar für Sprachwissenschaft/Computerlinguistik, Universität Tübingen, Abteilung für Automatische Sprachverarbeitung, Universität Leipzig, Institut für Maschinelle Sprachverarbeitung, Universität Stut...
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
huang-etal-2014-sentence
http://www.lrec-conf.org/proceedings/lrec2014/pdf/60_Paper.pdf
Sentence Rephrasing for Parsing Sentences with OOV Words
This paper addresses the problems of out-of-vocabulary (OOV) words, named entities in particular, in dependency parsing. The OOV words, whose word forms are unknown to the learning-based parser, in a sentence may decrease the parsing performance. To deal with this problem, we propose a sentence rephrasing approach to r...
false
[]
[]
null
null
null
This research was partially supported by National Science Council, Taiwan under NSC101-2221-E-002-195-MY3.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
himmel-1998-visualization
https://aclanthology.org/W98-0205
Visualization for Large Collections of Multimedia Information
Organizations that make use of large amounts of multimedia material (especially images and video) require easy access to such information. Recent developments in computer hardware and algorithm design have made possible content indexing of digital video information and efficient display of 3D data representations. This...
false
[]
[]
null
null
null
Our thanks go to Ricky Houghton and Bryan Maher at the Carnegie Mellon University Informedia project, and to John Risch, Scott Dowson, Brian Moon, and Bruce Rex at the Battelle Pacific Northwest National Laboratories Starlight project for their excellent work leading to this result. The Boeing team also includes Dean B...
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
amoia-martinez-2013-using
https://aclanthology.org/W13-2711
Using Comparable Collections of Historical Texts for Building a Diachronic Dictionary for Spelling Normalization
In this paper, we argue that comparable collections of historical written resources can help overcoming typical challenges posed by heritage texts enhancing spelling normalization, POS-tagging and subsequent diachronic linguistic analyses. Thus, we present a comparable corpus of historical German recipes and show how s...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vlachos-2006-active
https://aclanthology.org/W06-2209
Active Annotation
This paper introduces a semi-supervised learning framework for creating training material, namely active annotation. The main intuition is that an unsupervised method is used to initially annotate imperfectly the data and then the errors made are detected automatically and corrected by a human annotator. We applied act...
false
[]
[]
null
null
null
The author was funded by BBSRC, grant number 38688. I would like to thank Ted Briscoe and Bob Carpenter for their feedback and comments.
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
patry-etal-2006-mood
http://www.lrec-conf.org/proceedings/lrec2006/pdf/542_pdf.pdf
MOOD: A Modular Object-Oriented Decoder for Statistical Machine Translation
We present an Open Source framework called MOOD developed in order to facilitate the development of a Statistical Machine Translation Decoder. MOOD has been modularized using an object-oriented approach which makes it especially suitable for the fast development of state-of-the-art decoders. As a proof of concept, a cl...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
feng-etal-2015-blcunlp
https://aclanthology.org/S15-2054
BLCUNLP: Corpus Pattern Analysis for Verbs Based on Dependency Chain
We implemented a syntactic and semantic tagging system for SemEval 2015 Task 15: Corpus Pattern Analysis. For syntactic tagging, we present a Dependency Chain Search Algorithm that is found to be effective at identifying structurally distant subjects and objects. Other syntactic labels are identified using rules define...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their helpful suggestions and comments. The research work is funded by the Natural Science Foundation of China (No.61300081, 61170162), and the Fundamental Research Funds for the Central Universities in BLCU (No. 15YJ030006).
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2018-semi-autoregressive
https://aclanthology.org/D18-1044
Semi-Autoregressive Neural Machine Translation
Existing approaches to neural machine translation are typically autoregressive models. While these models attain state-of-the-art translation quality, they are suffering from low parallelizability and thus slow at decoding long sequences. In this paper, we propose a novel model for fast sequence generationthe semi-auto...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their valuable comments. We also thank Wenfu Wang, Hao Wang for helpful discussion and Linhao Dong, Jinghao Niu for their help in paper writting.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
townsend-etal-2014-university
https://aclanthology.org/S14-2136
University\_of\_Warwick: SENTIADAPTRON - A Domain Adaptable Sentiment Analyser for Tweets - Meets SemEval
We give a brief overview of our system, SentiAdaptron, a domain-sensitive and domain adaptable system for twitter analysis in tweets, and discuss performance on SemEval (in both the constrained and unconstrained scenarios), as well as implications arising from comparing the intra-and inter-domain performance on our twi...
false
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[]
null
null
null
Warwick Research Development Fund grant RD13129 provided funding for crowdsourced annotations. We thank our partners at CUSP, NYU for enabling us to use Amazon Mechanical Turk for this process.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rim-etal-2020-interchange
https://aclanthology.org/2020.lrec-1.893
Interchange Formats for Visualization: LIF and MMIF
Promoting interoperrable computational linguistics (CL) and natural language processing (NLP) application platforms and interchangeable data formats have contributed improving discoverabilty and accessbility of the openly available NLP software. In this paper, we discuss the enhanced data visualization capabilities tha...
false
[]
[]
null
null
null
We would like to thank the reviewers for their helpful comments. This work was supported by a grant from the National Science Foundation to Brandeis University and Vassar University, and by a grant from the Andrew W. Mellon Foundation to Brandeis University. The points of view expressed herein are solely those of the a...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
michou-seretan-2009-tool
https://aclanthology.org/E09-2012
A Tool for Multi-Word Expression Extraction in Modern Greek Using Syntactic Parsing
This paper presents a tool for extracting multi-word expressions from corpora in Modern Greek, which is used together with a parallel concordancer to augment the lexicon of a rule-based machinetranslation system. The tool is part of a larger extraction system that relies, in turn, on a multilingual parser developed ove...
false
[]
[]
null
null
null
This work has been supported by the Swiss National Science Foundation (grant 100012-117944). The authors would like to thank Eric Wehrli for his support and useful comments.
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2013-novel-classifier
https://aclanthology.org/P13-2086
A Novel Classifier Based on Quantum Computation
In this article, we propose a novel classifier based on quantum computation theory. Different from existing methods, we consider the classification as an evolutionary process of a physical system and build the classifier by using the basic quantum mechanics equation. The performance of the experiments on two datasets i...
false
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[]
null
null
null
This work was supported by the National Natural Science Foundation in China 61171114
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
aktas-etal-2020-adapting
https://aclanthology.org/2020.findings-emnlp.222
Adapting Coreference Resolution to Twitter Conversations
The performance of standard coreference resolution is known to drop significantly on Twitter texts. We improve the performance of the (Lee et al., 2018) system, which is originally trained on OntoNotes, by retraining on manually-annotated Twitter conversation data. Further experiments by combining different portions of...
false
[]
[]
null
null
null
We thank the anonymous reviewers for their helpful comments and suggestions. This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -Projektnummer 317633480 -SFB 1287, Project A03.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
mukund-srihari-2009-ne
https://aclanthology.org/W09-1609
NE Tagging for Urdu based on Bootstrap POS Learning
Part of Speech (POS) tagging and Named Entity (NE) tagging have become important components of effective text analysis. In this paper, we propose a bootstrapped model that involves four levels of text processing for Urdu. We show that increasing the training data for POS learning by applying bootstrapping techniques im...
false
[]
[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gotz-meurers-1995-compiling
https://aclanthology.org/P95-1012
Compiling HPSG type constraints into definite clause programs
We present a new approach to HPSG processing: compiling HPSG grammars expressed as type constraints into definite clause programs. This provides a clear and computationally useful correspondence between linguistic theories and their implementation. The compiler performs offline constraint inheritance and code optimizat...
false
[]
[]
null
null
null
The research reported here was carried out in the context of SFB 340, project B4, funded by the Deutsche Forschungsgemeinschaft. We would like to thank Dale Gerdemann, Paul John King and two anonymous referees for helpful discussion and comments.
1995
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ahn-frampton-2006-automatic
https://aclanthology.org/W06-2006
Automatic Generation of Translation Dictionaries Using Intermediary Languages
We describe a method which uses one or more intermediary languages in order to automatically generate translation dictionaries. Such a method could potentially be used to efficiently create translation dictionaries for language groups which have as yet had little interaction. For any given word in the source language, ...
false
[]
[]
null
null
null
null
2006
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zheng-etal-2021-low
https://aclanthology.org/2021.americasnlp-1.26
Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining
This paper describes UTokyo's submission to the AmericasNLP 2021 Shared Task on machine translation systems for indigenous languages of the Americas. We present a lowresource machine translation system that improves translation accuracy using cross-lingual language model pretraining. Our system uses an mBART implementa...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
vilar-etal-2011-dfkis
https://aclanthology.org/2011.iwslt-evaluation.13
DFKI's SC and MT submissions to IWSLT 2011
We describe DFKI's submission to the System Combination and Machine Translation tracks of the 2011 IWSLT Evaluation Campaign. We focus on a sentence selection mechanism which chooses the (hopefully) best sentence among a set of candidates. The rationale behind it is to take advantage of the strengths of each system, es...
false
[]
[]
null
null
null
This work was done with the support of the TaraXŰ Project 9 , financed by TSB Technologiestiftung Berlin-Zukunftsfonds Berlin, co-financed by the European Union-European fund for regional development.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
erk-pado-2009-paraphrase
https://aclanthology.org/W09-0208
Paraphrase Assessment in Structured Vector Space: Exploring Parameters and Datasets
The appropriateness of paraphrases for words depends often on context: "grab" can replace "catch" in "catch a ball", but not in "catch a cold". Structured Vector Space (SVS) (Erk and Padó, 2008) is a model that computes word meaning in context in order to assess the appropriateness of such paraphrases. This paper inves...
false
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[]
null
null
null
null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
elhoseiny-elgammal-2015-visual
https://aclanthology.org/W15-2809
Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions
One of the main challenges for scaling up object recognition systems is the lack of annotated images for real-world categories. It is estimated that humans can recognize and discriminate among about 30,000 categories (Biederman and others, 1987) . Typically there are few images available for training classifiers form m...
false
[]
[]
null
null
null
null
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
newman-griffis-etal-2019-classifying
https://aclanthology.org/W19-5001
Classifying the reported ability in clinical mobility descriptions
Assessing how individuals perform different activities is key information for modeling health states of individuals and populations. Descriptions of activity performance in clinical free text are complex, including syntactic negation and similarities to textual entailment tasks. We explore a variety of methods for the ...
true
[]
[]
Good Health and Well-Being
null
null
The authors would like to thank Pei-Shu Ho, Jonathan Camacho Maldonado, and Maryanne Sacco for discussions about error analysis, and our anonymous reviewers for their helpful comments. This research was supported in part by the Intramural Research Program of the National Institutes of Health, Clinical Research Center a...
2019
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wolf-gibson-2004-paragraph
https://aclanthology.org/P04-1049
Paragraph-, Word-, and Coherence-based Approaches to Sentence Ranking: A Comparison of Algorithm and Human Performance
Sentence ranking is a crucial part of generating text summaries. We compared human sentence rankings obtained in a psycholinguistic experiment to three different approaches to sentence ranking: A simple paragraph-based approach intended as a baseline, two word-based approaches, and two coherence-based approaches. In th...
false
[]
[]
null
null
null
null
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
penton-bird-2004-representing
https://aclanthology.org/U04-1017
Representing and Rendering Linguistic Paradigms
Linguistic forms are inherently multi-dimensional. They exhibit a variety of phonological, orthographic, morphosyntactic, semantic and pragmatic properties. Accordingly, linguistic analysis involves multidimensional exploration, a process in which the same collection of forms is laid out in many ways until clear patter...
false
[]
[]
null
null
null
This paper extends earlier work by (Penton et al., 2004) . This research has been supported by the National Science Foundation grant number 0317826 Querying Linguistic Databases.
2004
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tanasijevic-etal-2012-multimedia
http://www.lrec-conf.org/proceedings/lrec2012/pdf/637_Paper.pdf
Multimedia database of the cultural heritage of the Balkans
This paper presents a system that is designed to make possible the organization and search within the collected digitized material of intangible cultural heritage. The motivation for building the system was a vast quantity of multimedia documents collected by a team from the Institute for Balkan Studies in Belgrade. Th...
false
[]
[]
null
null
null
null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rehm-etal-2013-matecat
https://aclanthology.org/2013.mtsummit-european.10
MATECAT: Machine Translation Enhanced Computer Assisted Translation META - Multilingual Europe Technology Alliance
MateCat is a EU-funded research project (FP7-ICT-2011-7 grant 287688) that aims at improving the integration of machine translation (MT) and human translation within the so-called computer aided translation (CAT) framework.
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
taylor-1990-multimedia
https://aclanthology.org/1990.tc-1.18
Multimedia/Multilanguage publishing for the 1990s
Kent Taylor AT&T Document Development Organisation, Winston-Salem, USA AT&T is a global information management and movement enterprise, providing computer and telecommunications products and services all over the world. The global nature of the business, combined with rapidly changing technology call for innovative app...
false
[]
[]
null
null
null
null
1990
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhao-etal-2021-good
https://aclanthology.org/2021.emnlp-main.537
It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
Most existing simultaneous machine translation (SiMT) systems are trained and evaluated on offline translation corpora. We argue that SiMT systems should be trained and tested on real interpretation data. To illustrate this argument, we propose an interpretation test set and conduct a realistic evaluation of SiMT train...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ladhak-etal-2020-wikilingua
https://aclanthology.org/2020.findings-emnlp.360
WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
We introduce WikiLingua, a large-scale, multilingual dataset for the evaluation of crosslingual abstractive summarization systems. We extract article and summary pairs in 18 languages from WikiHow 12 , a high quality, collaborative resource of how-to guides on a diverse set of topics written by human authors. We create...
false
[]
[]
null
null
null
We would like to thank Chris Kedzie and the anonymous reviewers for their feedback. This research is based on work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract FA8650-17-C-9117. This work is also supported in part...
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lebanoff-etal-2021-semantic
https://aclanthology.org/2021.adaptnlp-1.25
Semantic Parsing of Brief and Multi-Intent Natural Language Utterances
Many military communication domains involve rapidly conveying situation awareness with few words. Converting natural language utterances to logical forms in these domains is challenging, as these utterances are brief and contain multiple intents. In this paper, we present a first effort toward building a weakly-supervi...
false
[]
[]
null
null
null
This research is based upon work supported by the Naval Air Warfare Center Training Systems Division and the Department of the Navy's Small Business Innovation Research (SBIR) Program, contract N68335-19-C-0052. The views and conclusions contained herein are those of the authors and should not be interpreted as necessa...
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zheng-etal-2010-growing
https://aclanthology.org/P10-3009
Growing Related Words from Seed via User Behaviors: A Re-Ranking Based Approach
Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our proposed method is motivated by the observation that the more frequently two words cooccur in user records, the more related they are. First, w...
false
[]
[]
null
null
null
We thank Xiance Si and Wufeng Ke for providing the Baidu encyclopedia corpus for evaluation. We also thank the anonymous reviewers for their helpful comments and suggestions. This work is supported by a Tsinghua-Sogou joint research project.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chang-kou-1988-new
https://aclanthology.org/O88-1005
A New Approach to Quality Text Generation
null
false
[]
[]
null
null
null
null
1988
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gosangi-etal-2021-use
https://aclanthology.org/2021.naacl-main.359
On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles
In this paper, we study the importance of context in predicting the citation worthiness of sentences in scholarly articles. We formulate this problem as a sequence labeling task solved using a hierarchical BiLSTM model. We contribute a new benchmark dataset containing over two million sentences and their corresponding ...
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
tubay-costa-jussa-2018-neural
https://aclanthology.org/W18-6449
Neural Machine Translation with the Transformer and Multi-Source Romance Languages for the Biomedical WMT 2018 task
The Transformer architecture has become the state-of-the-art in Machine Translation. This model, which relies on attention-based mechanisms, has outperformed previous neural machine translation architectures in several tasks. In this system description paper, we report details of training neural machine translation wit...
true
[]
[]
Good Health and Well-Being
null
null
Authors would like to thank Noe Casas for his valuable comments. This work is supported in
2018
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
yi-etal-2007-semantic
https://aclanthology.org/N07-1069
Can Semantic Roles Generalize Across Genres?
PropBank has been widely used as training data for Semantic Role Labeling. However, because this training data is taken from the WSJ, the resulting machine learning models tend to overfit on idiosyncrasies of that text's style, and do not port well to other genres. In addition, since PropBank was designed on a verb-by-...
false
[]
[]
null
null
null
null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
herbelot-vecchi-2015-building
https://aclanthology.org/D15-1003
Building a shared world: mapping distributional to model-theoretic semantic spaces
In this paper, we introduce an approach to automatically map a standard distributional semantic space onto a set-theoretic model. We predict that there is a functional relationship between distributional information and vectorial concept representations in which dimensions are predicates and weights are generalised qua...
false
[]
[]
null
null
null
We thank Marco Baroni, Stephen Clark, Ann Copestake and Katrin Erk for their helpful comments on a previous version of this paper, and the three anonymous reviewers for their thorough feedback on this work. Eva Maria Vecchi is supported by ERC Starting Grant DisCoTex (306920).
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2019-aspect
https://aclanthology.org/P19-1345
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network
In the literature, existing studies on aspect sentiment classification (ASC) focus on individual non-interactive reviews. This paper extends the research to interactive reviews and proposes a new research task, namely Aspect Sentiment Classification towards Question-Answering (ASC-QA), for real-world applications. This...
false
[]
[]
null
null
null
We thank our anonymous reviewers for their helpful comments. This work was supported by three NSFC grants, i.e., No.61672366, No.61702149 and No.61525205. This work was also supported by the joint research project of Alibaba Group and Soochow University.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ghaeini-etal-2018-dependent
https://aclanthology.org/C18-1282
Dependent Gated Reading for Cloze-Style Question Answering
We present a novel deep learning architecture to address the cloze-style question answering task. Existing approaches employ reading mechanisms that do not fully exploit the interdependency between the document and the query. In this paper, we propose a novel dependent gated reading bidirectional GRU network (DGR) to e...
false
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[]
null
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2017-leveraging
https://aclanthology.org/K17-1006
Leveraging Eventive Information for Better Metaphor Detection and Classification
Metaphor detection has been both challenging and rewarding in natural language processing applications. This study offers a new approach based on eventive information in detecting metaphors by leveraging the Chinese writing system, which is a culturally bound ontological system organized according to the basic concepts...
false
[]
[]
null
null
null
The work is partially supported by the following research grants from Hong Kong Polytechnic University: 1-YW1V, 4-ZZFE and RTVU; as well as GRF grants (PolyU 15211/14E and PolyU 152006/16E).
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
song-etal-2010-enhanced
http://www.lrec-conf.org/proceedings/lrec2010/pdf/798_Paper.pdf
Enhanced Infrastructure for Creation and Collection of Translation Resources
manual translation, parallel text harvesting, acquisition of existing manual translations Chinese > English 100M + BN, BC, NW, WB manual translation, parallel text harvesting, acquisition of existing manual translations English > Chinese 250K + BN, BC, NW, WB manual translation English>Arabic 250K + BN, BC, NW, WB manu...
false
[]
[]
null
null
null
This work was supported in part by the Defense Advanced Research Projects Agency, GALE Program Grant No. HR0011-06-1-0003. The content of this paper does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
delpech-saint-dizier-2008-investigating
http://www.lrec-conf.org/proceedings/lrec2008/pdf/20_paper.pdf
Investigating the Structure of Procedural Texts for Answering How-to Questions
This paper presents ongoing work dedicated to parsing the textual structure of procedural texts. We propose here a model for the intructional structure and criteria to identify its main components: titles, instructions, warnings and prerequisites. The main aim of this project, besides a contribution to text processing,...
false
[]
[]
null
null
null
Acknowledgements This paper relates work realized within the French ANR project TextCoop. We thank its partners for stimulating discussions.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
srivastava-etal-2018-identifying
https://aclanthology.org/W18-4412
Identifying Aggression and Toxicity in Comments using Capsule Network
Aggression and related activities like trolling, hate speech etc. involve toxic comments in various forms. These are common scenarios in today's time and websites react by shutting down their comment sections. To tackle this, an algorithmic solution is preferred to human moderation which is slow and expensive. In this ...
true
[]
[]
Peace, Justice and Strong Institutions
null
null
null
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
wich-etal-2020-investigating
https://aclanthology.org/2020.alw-1.22
Investigating Annotator Bias with a Graph-Based Approach
A challenge that many online platforms face is hate speech or any other form of online abuse. To cope with this, hate speech detection systems are developed based on machine learning to reduce manual work for monitoring these platforms. Unfortunately, machine learning is vulnerable to unintended bias in training data, ...
false
[]
[]
null
null
null
This research has been partially funded by a scholarship from the Hanns Seidel Foundation financed by the German Federal Ministry of Education and Research.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hobbs-etal-1992-robust
https://aclanthology.org/A92-1026
Robust Processing of Real-World Natural-Language Texts
I1. is often assumed that when natural language processing meets the real world, the ideal of aiming for complete and correct interpretations has to be abandoned. However, our experience with TACITUS; especially in the MUC-3 evaluation, has shown that. principled techniques fox' syntactic and pragmatic analysis can be ...
false
[]
[]
null
null
null
This research has been funded by the Defense Advanced Research Projects Agency under Office of Naval Research contracts N00014-85-C-0013 and N00014-90-C-0220.
1992
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
miura-etal-2014-teamx
https://aclanthology.org/S14-2111
TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting Scheme for Unbalanced Data
This paper describes the system that has been used by TeamX in SemEval-2014 Task 9 Subtask B. The system is a sentiment analyzer based on a supervised text categorization approach designed with following two concepts. Firstly, since lexicon features were shown to be effective in SemEval-2013 Task 2, various lexicons an...
false
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[]
null
null
null
We would like to thank the anonymous reviewers for their valuable comments to improve this paper.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kennington-schlangen-2021-incremental
https://aclanthology.org/2021.mmsr-1.8
Incremental Unit Networks for Multimodal, Fine-grained Information State Representation
We offer a sketch of a fine-grained information state annotation scheme that follows directly from the Incremental Unit abstract model of dialogue processing when used within a multimodal, co-located, interactive setting. We explain the Incremental Unit model and give an example application using the Localized Narrativ...
false
[]
[]
null
null
null
Acknowledgements We appreciate the feedback from the anonymous reviewers.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
grimm-etal-2015-towards
https://aclanthology.org/W15-2405
Towards a Model of Prediction-based Syntactic Category Acquisition: First Steps with Word Embeddings
We present a prototype model, based on a combination of count-based distributional semantics and prediction-based neural word embeddings, which learns about syntactic categories as a function of (1) writing contextual, phonological, and lexical-stress-related information to memory and (2) predicting upcoming context wo...
false
[]
[]
null
null
null
The present research was supported by a BOF/TOP grant (ID 29072) of the Research Council of the University of Antwerp.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
noro-tokuda-2008-ranking
https://aclanthology.org/I08-2092
Ranking Words for Building a Japanese Defining Vocabulary
Defining all words in a Japanese dictionary by using a limited number of words (defining vocabulary) is helpful for Japanese children and second-language learners of Japanese. Although some English dictionaries have their own defining vocabulary, no Japanese dictionary has such vocabulary as of yet. As the first step t...
false
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[]
null
null
null
null
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kleiweg-van-noord-2020-alpinograph
https://aclanthology.org/2020.tlt-1.13
AlpinoGraph: A Graph-based Search Engine for Flexible and Efficient Treebank Search
AlpinoGraph is a graph-based search engine which provides treebank search using SQL database technology coupled with the Cypher query language for graphs. In the paper, we show that AlpinoGraph is a very powerful and very flexible approach towards treebank search. At the same time, AlpinoGraph is efficient. Currently, ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
geng-etal-2022-improving
https://aclanthology.org/2022.acl-long.20
Improving Personalized Explanation Generation through Visualization
In modern recommender systems, there are usually comments or reviews from users that justify their ratings for different items. Trained on such textual corpus, explainable recommendation models learn to discover user interests and generate personalized explanations. Though able to provide plausible explanations, existi...
false
[]
[]
null
null
null
We appreciate the valuable feedback and suggestions of the reviewers. This work was supported in part by NSF IIS 1910154, 2007907, and 2046457. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
s-r-etal-2022-sentiment
https://aclanthology.org/2022.dravidianlangtech-1.29
Sentiment Analysis on Code-Switched Dravidian Languages with Kernel Based Extreme Learning Machines
Code-switching refers to the textual or spoken data containing multiple languages. Application of natural language processing (NLP) tasks like sentiment analysis is a harder problem on code-switched languages due to the irregularities in the sentence structuring and ordering. This paper shows the experiment results of ...
false
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[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
beckley-roark-2011-asynchronous
https://aclanthology.org/W11-2305
Asynchronous fixed-grid scanning with dynamic codes
In this paper, we examine several methods for including dynamic, contextually-sensitive binary codes within indirect selection typing methods using a grid with fixed symbol positions. Using Huffman codes derived from a character n-gram model, we investigate both synchronous (fixed latency highlighting) and asynchronous...
false
[]
[]
null
null
null
null
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
muischnek-muurisep-2017-estonian
https://aclanthology.org/W17-0410
Estonian Copular and Existential Constructions as an UD Annotation Problem
This article is about annotating clauses with nonverbal predication in version 2 of Estonian UD treebank. Three possible annotation schemas are discussed, among which separating existential clauses from copular clauses would be theoretically most sound but would need too much manual labor and could possibly yield incon...
false
[]
[]
null
null
null
This study was supported by the Estonian Ministry of Education and Research (IUT20-56), and by the European Union through the European Regional Development Fund (Centre of Excellence in Estonian Studies).
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2020-pretrain
https://aclanthology.org/2020.acl-main.200
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
Pretraining NLP models with variants of Masked Language Model (MLM) objectives has recently led to a significant improvements on many tasks. This paper examines the benefits of pretrained models as a function of the number of training samples used in the downstream task. On several text classification tasks, we show th...
false
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[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
navarretta-2000-semantic
https://aclanthology.org/W99-1013
Semantic Clustering of Adjectives and Verbs Based on Syntactic Patterns
In this paper we show that some of the syntactic patterns in an NLP lexicon can be used to identify semantically "similar" adjectives and verbs. We define semantic similarity on the basis of parameters used in the literature to classify adjectives and verbs semantically. The semantic clusters obtained from the syntacti...
false
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[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wan-etal-2020-self
https://aclanthology.org/2020.emnlp-main.80
Self-Paced Learning for Neural Machine Translation
Recent studies have proven that the training of neural machine translation (NMT) can be facilitated by mimicking the learning process of humans. Nevertheless, achievements of such kind of curriculum learning rely on the quality of artificial schedule drawn up with the handcrafted features, e.g. sentence length or word ...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
smith-eisner-2006-annealing
https://aclanthology.org/P06-1072
Annealing Structural Bias in Multilingual Weighted Grammar Induction
We first show how a structural locality bias can improve the accuracy of state-of-the-art dependency grammar induction models trained by EM from unannotated examples (Klein and Manning, 2004). Next, by annealing the free parameter that controls this bias, we achieve further improvements. We then describe an alternative...
false
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2006
false
false
false
false
false
false
false
false
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false
false
false
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false
false
false
shen-etal-2022-parallel
https://aclanthology.org/2022.acl-long.67
Parallel Instance Query Network for Named Entity Recognition
Named entity recognition (NER) is a fundamental task in natural language processing. Recent works treat named entity recognition as a reading comprehension task, constructing typespecific queries manually to extract entities. This paradigm suffers from three issues. First, type-specific queries can only extract one typ...
false
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null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hoenen-2016-wikipedia
https://aclanthology.org/L16-1335
Wikipedia Titles As Noun Tag Predictors
In this paper, we investigate a covert labeling cue, namely the probability that a title (by example of the Wikipedia titles) is a noun. If this probability is very large, any list such as or comparable to the Wikipedia titles can be used as a reliable word-class (or part-of-speech tag) predictor or noun lexicon. This ...
false
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null
We greatfully acknowledge the support arising from the collaboration of the empirical linguistics department and computer science manifesting in the Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences (CEDIFOR: https://www. cedifor.de/en/cedifor/).
2016
false
false
false
false
false
false
false
false
false
false
false
false
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false
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false
false
johannessen-etal-2009-nordic
https://aclanthology.org/W09-4612
The Nordic Dialect Corpus--an advanced research tool
The paper describes the first part of the Nordic Dialect Corpus. This is a tool that combines a number of useful features that together makes it a unique and very advanced resource for researchers of many fields of language search. The corpus is web-based and features full audiovisual representation linked to transcrip...
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In addition to participants in the ScanDiaSyn and NORMS networks, we would like to thank three anonymous NODALIDA-09 reviewers for valuable comments.
2009
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false
false
false
false
false
false
false
false
false
false
false
false
false
false
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false
liu-etal-2018-itnlp
https://aclanthology.org/S18-1183
ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention
Reasoning is a very important topic and has many important applications in the field of natural language processing. Semantic Evaluation (SemEval) 2018 Task 12 "The Argument Reasoning Comprehension" committed to research natural language reasoning. In this task, we proposed a novel argument reasoning comprehension syst...
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null
This work is sponsored by the National High Technology Research and Development Program of China (2015AA015405) and National Natural Science Foundation of China (61572151 and 61602131).
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
araki-etal-1994-evaluation-detect
https://aclanthology.org/C94-1030
An Evaluation to Detect and Correct Erroneous Characters Wrongly Substituted, Deleted and Inserted in Japanese and English Sentences Using Markov Models
In optical character recognition and coni.inuous speech recognition of a natural language, it has been diflicult to detect error characters which are wrongly deleted and inserted. ]n <>rder to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in a Japanese "bunsetsu" and an ...
false
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1994
false
false
false
false
false
false
false
false
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false
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false
false
callaway-2008-textcap
https://aclanthology.org/W08-2226
The TextCap Semantic Interpreter
The lack of large amounts of readily available, explicitly represented knowledge has long been recognized as a barrier to applications requiring semantic knowledge such as machine translation and question answering. This problem is analogous to that facing machine translation decades ago, where one proposed solution wa...
false
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2008
false
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false
false
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false
xu-etal-2003-training
https://aclanthology.org/W03-1021
Training Connectionist Models for the Structured Language Model
We investigate the performance of the Structured Language Model (SLM) in terms of perplexity (PPL) when its components are modeled by connectionist models. The connectionist models use a distributed representation of the items in the history and make much better use of contexts than currently used interpolated or back-...
false
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2003
false
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false
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false
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false
terragni-etal-2020-matters
https://aclanthology.org/2020.insights-1.5
Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models
Topic models have been widely used to discover hidden topics in a collection of documents. In this paper, we propose to investigate the role of two different types of relational information, i.e. document relationships and concept relationships. While exploiting the document network significantly improves topic coheren...
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2020
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false
charniak-1978-spoon-hand
https://aclanthology.org/T78-1027
With a Spoon in Hand This Must Be the Eating Frame
A language comprehension program using "frames", "scripts", etc. must be able to decide which frames are appropriate to the text. Often there will be explicit indication ("Fred was playing tennis" suggests the TENNIS frame) but it is not always so easy.("The woman waved while the man on the stage sawed her in half" sug...
false
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I have benefited from conversations with J.
1978
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poignant-etal-2016-camomile
https://aclanthology.org/L16-1226
The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents
In this paper, we describe the organization and the implementation of the CAMOMILE collaborative annotation framework for multimodal, multimedia, multilingual (3M) data. Given the versatile nature of the analysis which can be performed on 3M data, the structure of the server was kept intentionally simple in order to pr...
false
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null
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null
We thank the members of the CAMOMILE international advisory committee for their time and their precious advices and proposals. This work was done in the context of the CHIST-ERA CAMOMILE project funded by the ANR (Agence Nationale de la Recherche, France) under grant ANR-12-CHRI-0006-01, the FNR (Fonds National de La R...
2016
false
false
false
false
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false
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false
hwang-lee-2021-semi
https://aclanthology.org/2021.ranlp-1.67
Semi-Supervised Learning Based on Auto-generated Lexicon Using XAI in Sentiment Analysis
In this study, we proposed a novel Lexicon-based pseudo-labeling method utilizing explainable AI(XAI) approach. Existing approach have a fundamental limitation in their robustness because poor classifier leads to inaccurate soft-labeling, and it lead to poor classifier repetitively. Meanwhile, we generate the lexicon c...
false
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2021
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false
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false
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false
false
van-halteren-oostdijk-2018-identification
https://aclanthology.org/W18-3923
Identification of Differences between Dutch Language Varieties with the VarDial2018 Dutch-Flemish Subtitle Data
With the goal of discovering differences between Belgian and Netherlandic Dutch, we participated as Team Taurus in the Dutch-Flemish Subtitles task of VarDial2018. We used a rather simple marker-based method, but with a wide range of features, including lexical, lexico-syntactic and syntactic ones, and achieved a secon...
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null
We thank Erwin Komen and Micha Hulsbosch for preparing a script for the analysis of the text with Frog, Alpino and the surfacing software.
2018
false
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false
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false
false
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false
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false
false
brew-schulte-im-walde-2002-spectral
https://aclanthology.org/W02-1016
Spectral Clustering for German Verbs
We describe and evaluate the application of a spectral clustering technique (Ng et al., 2002) to the unsupervised clustering of German verbs. Our previous work has shown that standard clustering techniques succeed in inducing Levinstyle semantic classes from verb subcategorisation information. But clustering in the ver...
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null
2002
false
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false
false
false
false
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false
false
lim-liew-2022-english
https://aclanthology.org/2022.acl-srw.16
English-Malay Cross-Lingual Embedding Alignment using Bilingual Lexicon Augmentation
As high-quality Malay language resources are still a scarcity, cross lingual word embeddings make it possible for richer English resources to be leveraged for downstream Malay text classification tasks. This paper focuses on creating an English-Malay cross-lingual word embeddings using embedding alignment by exploiting...
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null
This study was supported by the Ministry of Higher Education Malaysia for Fundamental Research Grant Scheme with Project Code: FRGS/1/2020/ICT02/USM/02/3.
2022
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false
false
false
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false
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false
lockard-etal-2020-zeroshotceres
https://aclanthology.org/2020.acl-main.721
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
In many documents, such as semi-structured webpages, textual semantics are augmented with additional information conveyed using visual elements including layout, font size, and color. Prior work on information extraction from semi-structured websites has required learning an extraction model specific to a given templat...
false
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[]
null
null
null
We would like to acknowledge grants from ONR N00014-18-1-2826, DARPA N66001-19-2-403, NSF (IIS1616112, IIS1252835), Allen Distinguished Investigator Award, and Sloan Fellowship.
2020
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false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
och-etal-2001-efficient
https://aclanthology.org/W01-1408
An Efficient A* Search Algorithm for Statistical Machine Translation
In this paper, we describe an efficient A* search algorithm for statistical machine translation. In contrary to beamsearch or greedy approaches it is possible to guarantee the avoidance of search errors with A*. We develop various sophisticated admissible and almost admissible heuristic functions. Especially our newly ...
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null
null
null
This paper is based on work supported partly by the VERBMOBIL project (contract number 01 IV 701 T4) by the German Federal Ministry of Education, Science, Research and Technology. In addition, this work was supported by the National Science Foundation under Grant No. IIS-9820687 through the 1999 Workshop on Language En...
2001
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false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
nakano-kato-1998-cue
https://aclanthology.org/W98-0317
Cue Phrase Selection in Instruction Dialogue Using Machine Learning
The purpose of this paper is to identify effective factors for selecting discourse organization cue phrases in instruction dialogue that signal changes in discourse structure such as topic shifts and attentional state changes. By using a machine learning technique, a variety of features concerning discourse structure, ...
false
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null
null
null
null
1998
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
soldner-etal-2019-box
https://aclanthology.org/N19-1175
Box of Lies: Multimodal Deception Detection in Dialogues
Deception often takes place during everyday conversations, yet conversational dialogues remain largely unexplored by current work on automatic deception detection. In this paper, we address the task of detecting multimodal deceptive cues during conversational dialogues. We introduce a multimodal dataset containing dece...
true
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[]
Peace, Justice and Strong Institutions
null
null
This material is based in part upon work supported by the Michigan Institute for Data Science, by the National Science Foundation (grant #1815291), and by the John Templeton Foundation (grant #61156). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do no...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
spangher-etal-2020-enabling
https://aclanthology.org/2020.nlpcovid19-acl.4
Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training
Social-science investigations can benefit from a direct comparison of heterogenous corpora: in this work, we compare U.S. state-level COVID-19 policy announcements with policy discussions on Twitter. To perform this task, we require classifiers with high transfer accuracy to both (1) classify policy announcements and (...
true
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[]
Good Health and Well-Being
null
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null
2020
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
csomai-mihalcea-2008-linguistically
https://aclanthology.org/P08-1106
Linguistically Motivated Features for Enhanced Back-of-the-Book Indexing
In this paper we present a supervised method for back-of-the-book index construction. We introduce a novel set of features that goes beyond the typical frequency-based analysis, including features based on discourse comprehension, syntactic patterns, and information drawn from an online encyclopedia. In experiments car...
false
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[]
null
null
null
We are grateful to Kirk Hastings from the California Digital Library for his help in obtaining the UC Press corpus. This research has been partially supported by a grant from Google Inc. and a grant from the Texas Advanced Research Program (#003594).
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
frumkina-etal-1973-computational
https://aclanthology.org/C73-1013
Computational Methods in the Analysis of Verbal Behaviour
COMPUTATIONAL METHODS IN THE ANALYSIS OF VERBAL BEHAVIOUR The paper attempts to contribute to the development of the mathematical models of verbal behaviour by demonstrating the use of multidimensional individual scaling methods for differential representation of verbal perceptual structures. The method is illustrated ...
false
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null
null
null
null
1973
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
agarwal-1997-towards
https://aclanthology.org/W97-0617
Towards a PURE Spoken Dialogue System for Information Access
With the rapid explosion of the World Wide Web, it is becoming increasingly possible to easily acquire a wide variety of information such as flight schedules, yellow pages, used car prices, current stock prices, entertainment event schedules, account balances, etc. It would be very useful to have spoken dialogue interf...
false
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[]
null
null
null
The author wishes to thank Jack Godfrey for several useful discussions and his comments on an earlier draft of this paper; Charles HemphiU for his comments and for developing and providing the DAG-GER speech recognizer; and the anonymous reviewers for their valuable suggestions that helped improve the final version of ...
1997
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
pajkossy-zseder-2016-hunvec
https://aclanthology.org/L16-1678
The hunvec framework for NN-CRF-based sequential tagging
In this work we present the open source hunvec framework for sequential tagging, built upon Theano and Pylearn2. The underlying statistical model, which connects linear CRF-s with neural networks, was used by Collobert and co-workers, and several other researchers. For demonstrating the flexibility of our tool, we desc...
false
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null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liao-etal-2017-ynu
https://aclanthology.org/I17-4011
YNU-HPCC at IJCNLP-2017 Task 1: Chinese Grammatical Error Diagnosis Using a Bi-directional LSTM-CRF Model
Building a system to detect Chinese grammatical errors is a challenge for naturallanguage processing researchers. As Chinese learners are increasing, developing such a system can help them study Chinese more easily. This paper introduces a bidirectional long short-term memory (BiL-STM)-conditional random field (CRF) mo...
false
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null
null
null
2017
false
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false
false
false
false
false
false
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false
false