---
title: "Conference of the North American Chapter of the… — works"
description: "324 works of Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) in our library · page 2 of 4, the most…"
canonical: "https://research.elamur.ai/free/en/venues/naacl/works/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/naacl/works/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Conference of the North American Chapter of the…](https://md.research.elamur.ai/free/en/venues/naacl/) / [works](https://md.research.elamur.ai/free/en/venues/naacl/works/) / page 2

# Works of Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

324 works · page 2 of 4 · the most cited first · [← Conference of the North American Chapter of the…](https://md.research.elamur.ai/free/en/venues/naacl/)

[← prev](https://md.research.elamur.ai/free/en/venues/naacl/works/) [1](https://md.research.elamur.ai/free/en/venues/naacl/works/) **2** [3](https://md.research.elamur.ai/free/en/venues/naacl/works/page/3/) [4](https://md.research.elamur.ai/free/en/venues/naacl/works/page/4/) [next →](https://md.research.elamur.ai/free/en/venues/naacl/works/page/3/)

101. [**Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization**Regina Barzilay, Lillian Lee*2004 · 411 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2004-catching-drift-probabilistic-content-models/)
102. [**A Smorgasbord of Features for Statistical Machine Translation**Franz Josef Och, Daniel Gildea, Sanjeev Khudanpur, et al.*2004 · 402 citations*](https://md.research.elamur.ai/free/en/papers/och-2004-smorgasbord-features-statistical-machine-translation/)
103. [**A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios**Michael A. Hedderich, Lukas Lange, Heike Adel, et al.*2021 · 399 citations*](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/)
104. [**QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization**Ming Zhong, Da Yin, Tao Yu, et al.*2021 · 397 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/)
105. [**Construction of the Literature Graph in Semantic Scholar**Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.*2018 · 397 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2018-construction-literature-graph-semantic-scholar/)
106. [**Do Prompt-Based Models Really Understand the Meaning of Their Prompts?**Albert Webson, Ellie Pavlick*2022 · 396 citations*](https://md.research.elamur.ai/free/en/papers/webson-2022-do-prompt-based-models-really/)
107. [**Cross-lingual Transfer Learning for Multilingual Task Oriented Dialog**Sebastian Schuster, Sonal Gupta, Rushin Shah, et al.*2019 · 390 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-transfer-learning-multilingual/)
108. [**Pooled Contextualized Embeddings for Named Entity Recognition**Alan Akbik, Tanja Bergmann, Roland Vollgraf*2019 · 385 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2019-pooled-contextualized-embeddings-named-entity/)
109. [**Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity**Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.*2024 · 381 citations*](https://md.research.elamur.ai/free/en/papers/jeong-2024-adaptive-rag-learning-adapt-retrieval/)
110. [**Learning from Bullying Traces in Social Media**Jun-Ming Xu, Kwang-Sung Jun, Xiaojin Zhu, et al.*2012 · 381 citations*](https://md.research.elamur.ai/free/en/papers/xu-2012-learning-bullying-traces-social-media/)
111. [**A Neural Layered Model for Nested Named Entity Recognition**Meizhi Ju, Makoto Miwa, Sophia Ananiadou*2018 · 378 citations*](https://md.research.elamur.ai/free/en/papers/ju-2018-neural-layered-model-nested-named/)
112. [**A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers**Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.*2021 · 372 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/)
113. [**Learning for Semantic Parsing with Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2006 · 370 citations*](https://md.research.elamur.ai/free/en/papers/wong-2006-learning-semantic-parsing-statistical-machine/)
114. [**What makes a good conversation? How controllable attributes affect human judgments**Abigail See, Stephen Roller, Douwe Kiela, et al.*2019 · 369 citations*](https://md.research.elamur.ai/free/en/papers/see-2019-what-makes-good-conversation-how/)
115. [**Name Tagging with Word Clusters and Discriminative Training**Scott Miller, Jethran Guinness, Alex Zamanian*2004 · 365 citations*](https://md.research.elamur.ai/free/en/papers/miller-2004-name-tagging-word-clusters-discriminative/)
116. [**Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection**Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al.*2022 · 364 citations*](https://md.research.elamur.ai/free/en/papers/sap-2022-annotators-attitudes-how-annotator-beliefs/)
117. [**Combining Language and Vision with a Multimodal Skip-gram Model**Angeliki Lazaridou, Nghia The Pham, Marco Baroni*2015 · 362 citations*](https://md.research.elamur.ai/free/en/papers/lazaridou-2015-combining-language-vision-multimodal-skip/)
118. [**Arabic Preprocessing Schemes for Statistical Machine Translation**Nizar Habash, Fatiha Sadat*2006 · 358 citations*](https://md.research.elamur.ai/free/en/papers/habash-2006-arabic-preprocessing-schemes-statistical-machine/)
119. [**Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence**Chi Sun, Luyao Huang, Xipeng Qiu*2019 · 356 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-utilizing-bert-aspect-based-sentiment/)
120. [**Universal Neural Machine Translation for Extremely Low Resource Languages**Jiatao Gu, Hany Hassan, Jacob Devlin, et al.*2018 · 356 citations*](https://md.research.elamur.ai/free/en/papers/gu-2018-universal-neural-machine-translation-extremely/)
121. [**Bayesian Inference for PCFGs via Markov Chain Monte Carlo**Mark Johnson, Thomas Griffiths, Sharon Goldwater*2007 · 352 citations*](https://md.research.elamur.ai/free/en/papers/johnson-2007-bayesian-inference-pcfgs-markov-chain/)
122. [**Using “Annotator Rationales” to Improve Machine Learning for Text Categorization**Omar Zaidan, Jason Eisner, Christine Piatko*2007 · 352 citations*](https://md.research.elamur.ai/free/en/papers/zaidan-2007-annotator-rationales-improve-machine-learning/)
123. [**What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment**Hongyuan Mei, Mohit Bansal, Matthew R. Walter*2016 · 349 citations*](https://md.research.elamur.ai/free/en/papers/mei-2016-what-talk-about-how-selective/)
124. [**Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution**Simone Paolo Ponzetto, Michael Strube*2006 · 346 citations*](https://md.research.elamur.ai/free/en/papers/ponzetto-2006-exploiting-semantic-role-labeling-wordnet/)
125. [**Visual Storytelling**Ting-Hao Kenneth Huang, Francis Ferraro, Nasrin Mostafazadeh, et al.*2016 · 344 citations*](https://md.research.elamur.ai/free/en/papers/huang-2016-visual-storytelling/)
126. [**Symbolic Knowledge Distillation: from General Language Models to Commonsense Models**Peter West, Chandra Bhagavatula, Jack Hessel, et al.*2022 · 343 citations*](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/)
127. [**Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure**Oscar Täckström, Ryan McDonald, Jakob Uszkoreit*2012 · 340 citations*](https://md.research.elamur.ai/free/en/papers/tackstrom-2012-cross-lingual-word-clusters-direct/)
128. [**Toward Abstractive Summarization Using Semantic Representations**Fei Liu, Jeffrey Flanigan, Sam Thomson, et al.*2015 · 337 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-abstractive-summarization-semantic-representations/)
129. [**Efficient Attentions for Long Document Summarization**Luyang Huang, Shuyang Cao, Nikolaus Parulian, et al.*2021 · 334 citations*](https://md.research.elamur.ai/free/en/papers/huang-2021-efficient-attentions-long-document-summarization/)
130. [**Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings**Thomas Manzini, Lim Yao Chong, Alan W Black, et al.*2019 · 332 citations*](https://md.research.elamur.ai/free/en/papers/manzini-2019-black-is-criminal-as-caucasian/)
131. [**Do Supervised Distributional Methods Really Learn Lexical Inference Relations?**Omer Levy, Steffen Remus, Chris Biemann, et al.*2015 · 325 citations*](https://md.research.elamur.ai/free/en/papers/levy-2015-do-supervised-distributional-methods-really/)
132. [**Paraphrasing for Automatic Evaluation**David Kauchak, Regina Barzilay*2006 · 321 citations*](https://md.research.elamur.ai/free/en/papers/kauchak-2006-paraphrasing-automatic-evaluation/)
133. [**GSum: A General Framework for Guided Neural Abstractive Summarization**Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.*2021 · 317 citations*](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/)
134. [**Joint Extraction of Events and Entities within a Document Context**Bishan Yang, Tom M. Mitchell*2016 · 317 citations*](https://md.research.elamur.ai/free/en/papers/yang-2016-joint-extraction-events-entities-within/)
135. [**The Web as a Knowledge-Base for Answering Complex Questions**Alon Talmor, Jonathan Berant*2018 · 316 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2018-web-as-knowledge-base-answering/)
136. [**How many data points is a prompt worth?**Teven Le Scao, Alexander Rush*2021 · 315 citations*](https://md.research.elamur.ai/free/en/papers/scao-2021-how-many-data-points-is/)
137. [**Precision and Recall of Machine Translation**I. Dan Melamed, Ryan Green, Joseph P. Turian*2003 · 308 citations*](https://md.research.elamur.ai/free/en/papers/melamed-2003-precision-recall-machine-translation/)
138. [**Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment**Jason R. Smith, Chris Quirk, Kristina Toutanova*2010 · 302 citations*](https://md.research.elamur.ai/free/en/papers/smith-2010-extracting-parallel-sentences-comparable-corpora/)
139. [**TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation**Tao Yu, Zifan Li, Zilin Zhang, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/yu-2018-typesql-knowledge-based-type-aware/)
140. [**Distant Supervision for Relation Extraction with an Incomplete Knowledge Base**Bonan Min, Ralph Grishman, Li Wan, et al.*2013 · 299 citations*](https://md.research.elamur.ai/free/en/papers/min-2013-distant-supervision-relation-extraction-incomplete/)
141. [**Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing**Tal Schuster, Ori Ram, Regina Barzilay, et al.*2019 · 294 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2019-cross-lingual-alignment-contextual-word/)
142. [**Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement**Hua He, Jimmy Lin*2016 · 293 citations*](https://md.research.elamur.ai/free/en/papers/he-2016-pairwise-word-interaction-modeling-deep/)
143. [**Black Holes and White Rabbits: Metaphor Identification with Visual Features**Ekaterina Shutova, Douwe Kiela, Jean Maillard*2016 · 292 citations*](https://md.research.elamur.ai/free/en/papers/shutova-2016-black-holes-white-rabbits-metaphor/)
144. [**Neural language models as psycholinguistic subjects: Representations of syntactic state**Richard Futrell, Ethan Wilcox, Takashi Morita, et al.*2019 · 291 citations*](https://md.research.elamur.ai/free/en/papers/futrell-2019-neural-language-models-as-psycholinguistic/)
145. [**Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence**Tal Schuster, Adam Fisch, Regina Barzilay*2021 · 289 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2021-get-your-vitamin-c-robust/)
146. [**Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences**Bo Pang, Kevin Knight, Daniel Marcu*2003 · 289 citations*](https://md.research.elamur.ai/free/en/papers/pang-2003-syntax-based-alignment-multiple-translations/)
147. [**QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization**Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.*2022 · 288 citations*](https://md.research.elamur.ai/free/en/papers/fabbri-2022-qafacteval-improved-qa-based-factual/)
148. [**Structural Scaffolds for Citation Intent Classification in Scientific Publications**Arman Cohan, Waleed Ammar, Madeleine van Zuylen, et al.*2019 · 287 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2019-structural-scaffolds-citation-intent-classification/)
149. [**Machine Translation of Arabic Dialects**Rabih Zbib, Erika Malchiodi, Jacob Devlin, et al.*2012 · 285 citations*](https://md.research.elamur.ai/free/en/papers/zbib-2012-machine-translation-arabic-dialects/)
150. [**Text Generation from Knowledge Graphs with Graph Transformers**Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, et al.*2019 · 284 citations*](https://md.research.elamur.ai/free/en/papers/kedziorski-2019-text-generation-knowledge-graphs-graph/)
151. [**Improvements in Phrase-Based Statistical Machine Translation**Richard Zens, Hermann Ney*2004 · 284 citations*](https://md.research.elamur.ai/free/en/papers/zens-2004-improvements-phrase-based-statistical-machine/)
152. [**Contextualized Perturbation for Textual Adversarial Attack**Dianqi Li, Yizhe Zhang, Hao Peng, et al.*2021 · 282 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-contextualized-perturbation-textual-adversarial-attack/)
153. [**Ranking Sentences for Extractive Summarization with Reinforcement Learning**Shashi Narayan, Shay B. Cohen, Mirella Lapata*2018 · 279 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2018-ranking-sentences-extractive-summarization-reinforcement/)
154. [**TRUE: Re-evaluating Factual Consistency Evaluation**Or Honovich, Roee Aharoni, Jonathan Herzig, et al.*2022 · 276 citations*](https://md.research.elamur.ai/free/en/papers/honovich-2022-true-re-evaluating-factual-consistency/)
155. [**Parser Combination by Reparsing**Kenji Sagae, Alon Lavie*2006 · 276 citations*](https://md.research.elamur.ai/free/en/papers/sagae-2006-parser-combination-reparsing/)
156. [**Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks**Nandan Thakur, Nils Reimers, Johannes Daxenberger, et al.*2021 · 275 citations*](https://md.research.elamur.ai/free/en/papers/thakur-2021-augmented-sbert-data-augmentation-method/)
157. [**A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications**Dongyeop Kang, Waleed Ammar, Bhavana Dalvi, et al.*2018 · 274 citations*](https://md.research.elamur.ai/free/en/papers/kang-2018-dataset-peer-reviews-peerread-collection/)
158. [**Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion**Sittichai Jiampojamarn, Grzegorz Kondrak, Tarek Sherif*2007 · 274 citations*](https://md.research.elamur.ai/free/en/papers/jiampojamarn-2007-applying-many-many-alignments-hidden/)
159. [**Re-examining Machine Translation Metrics for Paraphrase Identification**Nitin Madnani, Joel Tetreault, Martin Chodorow*2012 · 271 citations*](https://md.research.elamur.ai/free/en/papers/madnani-2012-re-examining-machine-translation-metrics/)
160. [**Statistical Phrase-Based Post-Editing**Michel Simard, Cyril Goutte, Pierre Isabelle*2007 · 270 citations*](https://md.research.elamur.ai/free/en/papers/simard-2007-statistical-phrase-based-post-editing/)
161. [**DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.*2022 · 269 citations*](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)
162. [**A Transition-based Algorithm for AMR Parsing**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 268 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-transition-based-algorithm-amr-parsing/)
163. [**Learning Global Features for Coreference Resolution**Sam Wiseman, Alexander M. Rush, Stuart M. Shieber*2016 · 264 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2016-learning-global-features-coreference-resolution/)
164. [**Selective Attention for Context-aware Neural Machine Translation**Sameen Maruf, André F. T. Martins, Gholamreza Haffari*2019 · 263 citations*](https://md.research.elamur.ai/free/en/papers/maruf-2019-selective-attention-context-aware-neural/)
165. [**A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation**Masao Utiyama, Hitoshi Isahara*2007 · 263 citations*](https://md.research.elamur.ai/free/en/papers/utiyama-2007-comparison-pivot-methods-phrase-based/)
166. [**Detection of Abusive Language: the Problem of Biased Datasets**Michael Wiegand, Josef Ruppenhofer, Thomas Kleinbauer*2019 · 259 citations*](https://md.research.elamur.ai/free/en/papers/wiegand-2019-detection-abusive-language-problem-biased/)
167. [**Multi-Reward Reinforced Summarization with Saliency and Entailment**Ramakanth Pasunuru, Mohit Bansal*2018 · 252 citations*](https://md.research.elamur.ai/free/en/papers/pasunuru-2018-multi-reward-reinforced-summarization-saliency/)
168. [**Tied Multitask Learning for Neural Speech Translation**Antonios Anastasopoulos, David Chiang*2018 · 250 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2018-tied-multitask-learning-neural-speech/)
169. [**Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters**Olutobi Owoputi, Brendan O'Connor, Chris Dyer, et al.*2013 · 243 citations*](https://md.research.elamur.ai/free/en/papers/owoputi-2013-improved-part-speech-tagging-online/)
170. [**Trusting Your Evidence: Hallucinate Less with Context-aware Decoding**Weijia Shi, Xiaochuang Han, Mike Lewis, et al.*2024 · 240 citations*](https://md.research.elamur.ai/free/en/papers/shi-2024-trusting-your-evidence-hallucinate-less/)
171. [**The Curious Case of Hallucinations in Neural Machine Translation**Vikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt*2021 · 240 citations*](https://md.research.elamur.ai/free/en/papers/raunak-2021-curious-case-hallucinations-neural-machine/)
172. [**Stance Classification using Dialogic Properties of Persuasion**Marilyn Walker, Pranav Anand, Rob Abbott, et al.*2012 · 240 citations*](https://md.research.elamur.ai/free/en/papers/walker-2012-stance-classification-dialogic-properties-persuasion/)
173. [**Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training**Oshin Agarwal, Heming Ge, Siamak Shakeri, et al.*2021 · 238 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2021-knowledge-graph-based-synthetic-corpus/)
174. [**Structured Perceptron with Inexact Search**Liang Huang, Suphan Fayong, Yang Guo*2012 · 235 citations*](https://md.research.elamur.ai/free/en/papers/huang-2012-structured-perceptron-inexact-search/)
175. [**The Importance of Modeling Social Factors of Language: Theory and Practice**Dirk Hovy, Diyi Yang*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/)
176. [**FUDGE: Controlled Text Generation With Future Discriminators**Kevin Yang, Dan Klein*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/yang-2021-fudge-controlled-text-generation-future/)
177. [**Classical Structured Prediction Losses for Sequence to Sequence Learning**Sergey Edunov, Myle Ott, Michael Auli, et al.*2018 · 232 citations*](https://md.research.elamur.ai/free/en/papers/edunov-2018-classical-structured-prediction-losses-sequence/)
178. [**Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation**Amit Moryossef, Yoav Goldberg, Ido Dagan*2019 · 230 citations*](https://md.research.elamur.ai/free/en/papers/moryossef-2019-step-step-separating-planning-realization/)
179. [**DEGREE: A Data-Efficient Generation-Based Event Extraction Model**I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al.*2022 · 227 citations*](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/)
180. [**Open-Domain Question Answering Goes Conversational via Question Rewriting**Raviteja Anantha, Svitlana Vakulenko, Zhucheng Tu, et al.*2021 · 227 citations*](https://md.research.elamur.ai/free/en/papers/anantha-2021-open-domain-question-answering-goes/)
181. [**Hurdles to Progress in Long-form Question Answering**Kalpesh Krishna, Aurko Roy, Mohit Iyyer*2021 · 227 citations*](https://md.research.elamur.ai/free/en/papers/krishna-2021-hurdles-progress-long-form-question/)
182. [**Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming**Pascal Denis, Jason Baldridge*2007 · 224 citations*](https://md.research.elamur.ai/free/en/papers/denis-2007-joint-determination-anaphoricity-coreference-resolution/)
183. [**Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks**Paul Röttger, Bertie Vidgen, Dirk Hovy, et al.*2022 · 219 citations*](https://md.research.elamur.ai/free/en/papers/rottger-2022-two-contrasting-data-annotation-paradigms/)
184. [**The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants**Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, et al.*2018 · 217 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2018-argument-reasoning-comprehension-task-identification/)
185. [**Annotating and Modeling Fine-grained Factuality in Summarization**Tanya Goyal, Greg Durrett*2021 · 215 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2021-annotating-modeling-fine-grained-factuality/)
186. [**Coreference Resolution in a Modular, Entity-Centered Model**Aria Haghighi, Dan Klein*2010 · 215 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2010-coreference-resolution-modular-entity-centered/)
187. [**Probing the Need for Visual Context in Multimodal Machine Translation**Ozan Caglayan, Pranava Madhyastha, Lucia Specia, et al.*2019 · 214 citations*](https://md.research.elamur.ai/free/en/papers/caglayan-2019-probing-need-visual-context-multimodal/)
188. [**First-Order Probabilistic Models for Coreference Resolution**Aron Culotta, Michael Wick, Andrew McCallum*2007 · 212 citations*](https://md.research.elamur.ai/free/en/papers/culotta-2007-first-order-probabilistic-models-coreference/)
189. [**Unsupervised Morphological Segmentation with Log-Linear Models**Hoifung Poon, Colin Cherry, Kristina Toutanova*2009 · 210 citations*](https://md.research.elamur.ai/free/en/papers/poon-2009-unsupervised-morphological-segmentation-log-linear/)
190. [**For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia**Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, et al.*2010 · 209 citations*](https://md.research.elamur.ai/free/en/papers/yatskar-2010-sake-simplicity-unsupervised-extraction-lexical/)
191. [**XOR QA: Cross-lingual Open-Retrieval Question Answering**Akari Asai, Jungo Kasai, Jonathan Clark, et al.*2021 · 206 citations*](https://md.research.elamur.ai/free/en/papers/asai-2021-xor-qa-cross-lingual-open/)
192. [**On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?**Nouha Dziri, Sivan Milton, Mo Yu, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-origin-hallucinations-conversational-models-is/)
193. [**Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting**J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.*2019 · 198 citations*](https://md.research.elamur.ai/free/en/papers/hu-2019-improved-lexically-constrained-decoding-translation/)
194. [**The emergence of number and syntax units in LSTM language models**Yair Lakretz, German Kruszewski, Theo Desbordes, et al.*2019 · 194 citations*](https://md.research.elamur.ai/free/en/papers/lakretz-2019-emergence-number-syntax-units-lstm/)
195. [**HONEST: Measuring Hurtful Sentence Completion in Language Models**Debora Nozza, Federico Bianchi, Dirk Hovy*2021 · 190 citations*](https://md.research.elamur.ai/free/en/papers/nozza-2021-honest-measuring-hurtful-sentence-completion/)
196. [**GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer**Urchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.*2024 · 189 citations*](https://md.research.elamur.ai/free/en/papers/zaratiana-2024-gliner-generalist-model-named-entity/)
197. [**When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models**Benjamin Muller, Antonios Anastasopoulos, Benoît Sagot, et al.*2021 · 189 citations*](https://md.research.elamur.ai/free/en/papers/muller-2021-when-being-unseen-mbert-is/)
198. [**Integrating Stance Detection and Fact Checking in a Unified Corpus**Ramy Baly, Mitra Mohtarami, James Glass, et al.*2018 · 186 citations*](https://md.research.elamur.ai/free/en/papers/baly-2018-integrating-stance-detection-fact-checking/)
199. [**compare-mt: A Tool for Holistic Comparison of Language Generation Systems**Graham Neubig, Zi-Yi Dou, Junjie Hu, et al.*2019 · 185 citations*](https://md.research.elamur.ai/free/en/papers/neubig-2019-compare-mt-tool-holistic-comparison/)
200. [**Arabic Diacritization through Full Morphological Tagging**Nizar Habash, Owen Rambow*2007 · 184 citations*](https://md.research.elamur.ai/free/en/papers/habash-2007-arabic-diacritization-through-full-morphological/)

[← prev](https://md.research.elamur.ai/free/en/venues/naacl/works/) [1](https://md.research.elamur.ai/free/en/venues/naacl/works/) **2** [3](https://md.research.elamur.ai/free/en/venues/naacl/works/page/3/) [4](https://md.research.elamur.ai/free/en/venues/naacl/works/page/4/) [next →](https://md.research.elamur.ai/free/en/venues/naacl/works/page/3/)

- [← back to](https://md.research.elamur.ai/free/en/venues/naacl/) — Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)