---
title: "Annual Meeting of the Association for… — works, page 8"
description: "1,021 works of Annual Meeting of the Association for Computational Linguistics (ACL) in our library · page 8 of 11, the most cited first."
canonical: "https://research.elamur.ai/free/en/venues/acl/works/page/8/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/acl/works/page/8/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Annual Meeting of the Association for…](https://md.research.elamur.ai/free/en/venues/acl/) / [works](https://md.research.elamur.ai/free/en/venues/acl/works/) / page 8

# Works of Annual Meeting of the Association for Computational Linguistics (ACL)

1,021 works · page 8 of 11 · the most cited first · [← Annual Meeting of the Association for…](https://md.research.elamur.ai/free/en/venues/acl/)

[← prev](https://md.research.elamur.ai/free/en/venues/acl/works/page/7/) [1](https://md.research.elamur.ai/free/en/venues/acl/works/) … [7](https://md.research.elamur.ai/free/en/venues/acl/works/page/7/) **8** [9](https://md.research.elamur.ai/free/en/venues/acl/works/page/9/) [10](https://md.research.elamur.ai/free/en/venues/acl/works/page/10/) [11](https://md.research.elamur.ai/free/en/venues/acl/works/page/11/) [next →](https://md.research.elamur.ai/free/en/venues/acl/works/page/9/)

701. [**Toward Gender-Inclusive Coreference Resolution**Yang Trista Cao, Hal Daumé III*2020 · 125 citations*](https://md.research.elamur.ai/free/en/papers/cao-2020-gender-inclusive-coreference-resolution/)
702. [**Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models**Lei Li, Yuqi Wang, Runxin Xu, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-multimodal-arxiv-dataset-improving-scientific/)
703. [**Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference**Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.*2019 · 121 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2019-don-t-take-premise-granted/)
704. [**Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation**Or Biran, Kathleen McKeown*2013 · 121 citations*](https://md.research.elamur.ai/free/en/papers/biran-2013-aggregated-word-pair-features-implicit/)
705. [**ParaDetox: Detoxification with Parallel Data**Varvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, et al.*2022 · 120 citations*](https://md.research.elamur.ai/free/en/papers/logacheva-2022-paradetox-detoxification-parallel-data/)
706. [**JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection**Bin Liang, Qinglin Zhu, Xiang Li, et al.*2022 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2022-jointcl-joint-contrastive-learning-framework/)
707. [**Speech Acts and Rationality**Philip R. Cohen, Hector J. Levesque*1985 · 117 citations*](https://md.research.elamur.ai/free/en/papers/cohen-1985-speech-acts-rationality/)
708. [**ProcessBench: Identifying Process Errors in Mathematical Reasoning**Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al.*2025 · 116 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2025-processbench-identifying-process-errors-mathematical/)
709. [**Intrinsic Bias Metrics Do Not Correlate with Application Bias**Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, et al.*2021 · 116 citations*](https://md.research.elamur.ai/free/en/papers/tarrant-2021-intrinsic-bias-metrics-do-not/)
710. [**Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 115 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-boosting-transition-based-amr-parsing/)
711. [**A Taxonomy for English Nouns and Verbs**Robert A. Amsler*1981 · 115 citations*](https://md.research.elamur.ai/free/en/papers/amsler-1981-taxonomy-english-nouns-verbs/)
712. [**Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network**Jifan Chen, Qi Zhang, Pengfei Liu, et al.*2016 · 114 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/)
713. [**Coreference Resolution with Reconcile**Veselin Stoyanov, Claire Cardie, Nathan Gilbert, et al.*2010 · 114 citations*](https://md.research.elamur.ai/free/en/papers/stoyanov-2010-coreference-resolution-reconcile/)
714. [**Simple and Effective Text Simplification Using Semantic and Neural Methods**Elior Sulem, Omri Abend, Ari Rappoport*2018 · 113 citations*](https://md.research.elamur.ai/free/en/papers/sulem-2018-simple-effective-text-simplification-semantic/)
715. [**Corpus Statistics Meet the Noun Compound: Some Empirical Results**Mark Lauer*1995 · 113 citations*](https://md.research.elamur.ai/free/en/papers/lauer-1995-corpus-statistics-meet-noun-compound/)
716. [**Discourse Deixis: Reference to Discourse Segments**Bonnie Lynn Webber*1988 · 113 citations*](https://md.research.elamur.ai/free/en/papers/webber-1988-discourse-deixis-reference-discourse-segments/)
717. [**A Cross-Lingual ILP Solution to Zero Anaphora Resolution**Ryu Iida, Massimo Poesio*2011 · 110 citations*](https://md.research.elamur.ai/free/en/papers/iida-2011-cross-lingual-ilp-solution-zero/)
718. [**Coreference Resolution without Span Representations**Yuval Kirstain, Ori Ram, Omer Levy*2021 · 109 citations*](https://md.research.elamur.ai/free/en/papers/kirstain-2021-coreference-resolution-without-span-representations/)
719. [**Universal Dependencies for Learner English**Yevgeni Berzak, Jessica Kenney, Carolyn Spadine, et al.*2016 · 109 citations*](https://md.research.elamur.ai/free/en/papers/berzak-2016-universal-dependencies-learner-english/)
720. [**AMR-to-text Generation with Synchronous Node Replacement Grammar**Linfeng Song, Xiaochang Peng, Yue Zhang, et al.*2017 · 108 citations*](https://md.research.elamur.ai/free/en/papers/song-2017-amr-text-generation-synchronous-node/)
721. [**GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers**Qintong Li, Leyang Cui, Xueliang Zhao, et al.*2024 · 107 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-gsm-plus-comprehensive-benchmark-evaluating/)
722. [**French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English**Aurélie Névéol, Yoann Dupont, Julien Bezançon, et al.*2022 · 107 citations*](https://md.research.elamur.ai/free/en/papers/neveol-2022-french-crows-pairs-extending-challenge/)
723. [**End-to-End Bias Mitigation by Modelling Biases in Corpora**Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson*2020 · 107 citations*](https://md.research.elamur.ai/free/en/papers/mahabadi-2020-end-end-bias-mitigation-modelling/)
724. [**Hedge Classification in Biomedical Texts with a Weakly Supervised Selection of Keywords**György Szarvas*2008 · 107 citations*](https://md.research.elamur.ai/free/en/papers/szarvas-2008-hedge-classification-biomedical-texts-weakly/)
725. [**Types of Common-Sense Knowledge Needed for Recognizing Textual Entailment**Peter LoBue, Alexander Yates*2011 · 106 citations*](https://md.research.elamur.ai/free/en/papers/lobue-2011-types-common-sense-knowledge-needed/)
726. [**Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation**Verna Dankers, Christopher Lucas, Ivan Titov*2022 · 105 citations*](https://md.research.elamur.ai/free/en/papers/dankers-2022-can-transformer-be-too-compositional/)
727. [**LENS: A Learnable Evaluation Metric for Text Simplification**Mounica Maddela, Yao Dou, David Heineman, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/)
728. [**Uncertain Natural Language Inference**Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.*2020 · 103 citations*](https://md.research.elamur.ai/free/en/papers/chen-2020-uncertain-natural-language-inference/)
729. [**Machine Learning for Coreference Resolution: From Local Classification to Global Ranking**Vincent Ng*2005 · 103 citations*](https://md.research.elamur.ai/free/en/papers/ng-2005-machine-learning-coreference-resolution-local/)
730. [**An Unsupervised Approach to Prepositional Phrase Attachment using Contextually Similar Words**Patrick Pantel, Dekang Lin*2000 · 103 citations*](https://md.research.elamur.ai/free/en/papers/pantel-2000-unsupervised-approach-prepositional-phrase-attachment/)
731. [**Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction**Zhanming Jie, Jierui Li, Wei Lu*2022 · 102 citations*](https://md.research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/)
732. [**Learning Latent Personas of Film Characters**David Bamman, Brendan O'Connor, Noah A. Smith*2013 · 101 citations*](https://md.research.elamur.ai/free/en/papers/bamman-2013-learning-latent-personas-film-characters/)
733. [**UniTE: Unified Translation Evaluation**Yu Wan, Dayiheng Liu, Baosong Yang, et al.*2022 · 100 citations*](https://md.research.elamur.ai/free/en/papers/wan-2022-unite-unified-translation-evaluation/)
734. [**Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus**Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, et al.*2020 · 100 citations*](https://md.research.elamur.ai/free/en/papers/bentivogli-2020-gender-danger-evaluating-speech-translation/)
735. [**Kernel-Based Pronoun Resolution with Structured Syntactic Knowledge**Xiaofeng Yang, Jian Su, Chew Lim Tan*2006 · 100 citations*](https://md.research.elamur.ai/free/en/papers/yang-2006-kernel-based-pronoun-resolution-structured/)
736. [**An Unsupervised Morpheme-Based HMM for Hebrew Morphological Disambiguation**Meni Adler, Michael Elhadad*2006 · 99 citations*](https://md.research.elamur.ai/free/en/papers/adler-2006-unsupervised-morpheme-based-hmm-hebrew/)
737. [**Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers**André Martins, Miguel Almeida, Noah A. Smith*2013 · 97 citations*](https://md.research.elamur.ai/free/en/papers/martins-2013-turning-turbo-fast-third-order/)
738. [**A Unified Linear-Time Framework for Sentence-Level Discourse Parsing**Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, et al.*2019 · 94 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-unified-linear-time-framework-sentence/)
739. [**Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation**Lotem Peled, Roi Reichart*2017 · 94 citations*](https://md.research.elamur.ai/free/en/papers/peled-2017-sarcasm-sign-interpreting-sarcasm-sentiment/)
740. [**An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming**Xiaofeng Yang, Jian Su, Jun Lang, et al.*2008 · 94 citations*](https://md.research.elamur.ai/free/en/papers/yang-2008-entity-mention-model-coreference-resolution/)
741. [**Utilizing Statistical Dialogue Act Processing in Verbmobil**Norbert Reithinger, Elisabeth Maier*1995 · 94 citations*](https://md.research.elamur.ai/free/en/papers/reithinger-1995-utilizing-statistical-dialogue-act-processing/)
742. [**Twitter Universal Dependency Parsing for African-American and Mainstream American English**Su Lin Blodgett, Johnny Wei, Brendan O'Connor*2018 · 92 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2018-twitter-universal-dependency-parsing-african/)
743. [**Machine Comprehension with Discourse Relations**Karthik Narasimhan, Regina Barzilay*2015 · 91 citations*](https://md.research.elamur.ai/free/en/papers/narasimhan-2015-machine-comprehension-discourse-relations/)
744. [**Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike**Bart Jongejan, Hercules Dalianis*2009 · 90 citations*](https://md.research.elamur.ai/free/en/papers/jongejan-2009-automatic-training-lemmatization-rules-that/)
745. [**Efficient Parsing for Bilexical Context-Free Grammars and Head Automaton Grammars**Jason Eisner, Giorgio Satta*1999 · 90 citations*](https://md.research.elamur.ai/free/en/papers/eisner-1999-efficient-parsing-bilexical-context-free/)
746. [**Corpus-Based Identification of Non-Anaphoric Noun Phrases**David L. Bean, Ellen Riloff*1999 · 89 citations*](https://md.research.elamur.ai/free/en/papers/bean-1999-corpus-based-identification-non-anaphoric/)
747. [**Frame-Semantic Role Labeling with Heterogeneous Annotations**Meghana Kshirsagar, Sam Thomson, Nathan Schneider, et al.*2015 · 88 citations*](https://md.research.elamur.ai/free/en/papers/kshirsagar-2015-frame-semantic-role-labeling-heterogeneous/)
748. [**R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge**Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al.*2020 · 86 citations*](https://md.research.elamur.ai/free/en/papers/chakrabarty-2020-r-textasciicircum3-reverse-retrieve-rank/)
749. [**Harnessing Cognitive Features for Sarcasm Detection**Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.*2016 · 85 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/)
750. [**Controlled Crowdsourcing for High-Quality QA-SRL Annotation**Paul Roit, Ayal Klein, Daniela Stepanov, et al.*2020 · 84 citations*](https://md.research.elamur.ai/free/en/papers/roit-2020-controlled-crowdsourcing-high-quality-qa/)
751. [**Coreference-inspired Coherence Modeling**Micha Elsner, Eugene Charniak*2008 · 84 citations*](https://md.research.elamur.ai/free/en/papers/elsner-2008-coreference-inspired-coherence-modeling/)
752. [**Exploiting Syntactic Patterns as Clues in Zero-Anaphora Resolution**Ryu Iida, Kentaro Inui, Yuji Matsumoto*2006 · 84 citations*](https://md.research.elamur.ai/free/en/papers/iida-2006-exploiting-syntactic-patterns-as-clues/)
753. [**DiMLex: A Lexicon of Discourse Markers for Text Generation and Understanding**Manfred Stede, Carla Umbach*1998 · 84 citations*](https://md.research.elamur.ai/free/en/papers/stede-1998-dimlex-lexicon-discourse-markers-text/)
754. [**The Derivation of a Grammatically Indexed Lexicon from the Longman Dictionary of Contemporary English**Bran Boguraev, Ted Briscoe, John Carroll, et al.*1987 · 84 citations*](https://md.research.elamur.ai/free/en/papers/boguraev-1987-derivation-grammatically-indexed-lexicon-longman/)
755. [**SciDTB: Discourse Dependency TreeBank for Scientific Abstracts**An Yang, Sujian Li*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-scidtb-discourse-dependency-treebank-scientific/)
756. [**Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/)
757. [**A Corpus for Modeling Morpho-Syntactic Agreement in Arabic: Gender, Number and Rationality**Sarah Alkuhlani, Nizar Habash*2011 · 82 citations*](https://md.research.elamur.ai/free/en/papers/alkuhlani-2011-corpus-modeling-morpho-syntactic-agreement/)
758. [**Towards a Contextual Pragmatic Model to Detect Irony in Tweets**Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.*2015 · 81 citations*](https://md.research.elamur.ai/free/en/papers/karoui-2015-contextual-pragmatic-model-detect-irony/)
759. [**Blast: A Tool for Error Analysis of Machine Translation Output**Sara Stymne*2011 · 81 citations*](https://md.research.elamur.ai/free/en/papers/stymne-2011-blast-tool-error-analysis-machine/)
760. [**Compound Probabilistic Context-Free Grammars for Grammar Induction**Yoon Kim, Chris Dyer, Alexander Rush*2019 · 79 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/)
761. [**Formalism-Independent Parser Evaluation with CCG and DepBank**Stephen Clark, James Curran*2007 · 79 citations*](https://md.research.elamur.ai/free/en/papers/clark-2007-formalism-independent-parser-evaluation-ccg/)
762. [**Towards Emotion-aided Multi-modal Dialogue Act Classification**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 78 citations*](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/)
763. [**A Morphologically Sensitive Clustering Algorithm for Identifying Arabic Roots**Anne N. De Roeck, Waleed Al-Fares*2000 · 78 citations*](https://md.research.elamur.ai/free/en/papers/roeck-2000-morphologically-sensitive-clustering-algorithm-identifying/)
764. [**Discriminative Approach to Predicate-Argument Structure Analysis with Zero-Anaphora Resolution**Kenji Imamura, Kuniko Saito, Tomoko Izumi*2009 · 77 citations*](https://md.research.elamur.ai/free/en/papers/imamura-2009-discriminative-approach-predicate-argument-structure/)
765. [**Bridging Anaphora Resolution as Question Answering**Yufang Hou*2020 · 76 citations*](https://md.research.elamur.ai/free/en/papers/hou-2020-bridging-anaphora-resolution-as-question/)
766. [**FrameNet+: Fast Paraphrastic Tripling of FrameNet**Ellie Pavlick, Travis Wolfe, Pushpendre Rastogi, et al.*2015 · 75 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2015-framenet-fast-paraphrastic-tripling-framenet/)
767. [**Was It Good? It Was Provocative.” Learning the Meaning of Scalar Adjectives**Marie-Catherine de Marneffe, Christopher D. Manning, Christopher Potts*2010 · 75 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2010-was-it-good-it-was/)
768. [**Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems**Malte Gabsdil, Oliver Lemon*2004 · 74 citations*](https://md.research.elamur.ai/free/en/papers/gabsdil-2004-combining-acoustic-pragmatic-features-predict/)
769. [**Importance of Pronominal Anaphora Resolution in Question Answering Systems**José L. Vicedo, Antonio Ferrández*2000 · 74 citations*](https://md.research.elamur.ai/free/en/papers/vicedo-2000-importance-pronominal-anaphora-resolution-question/)
770. [**Multi-VALUE: A Framework for Cross-Dialectal English NLP**Caleb Ziems, William Held, Jingfeng Yang, et al.*2023 · 73 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2023-multi-value-framework-cross-dialectal/)
771. [**The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution**Ali Emami, Paul Trichelair, Adam Trischler, et al.*2019 · 73 citations*](https://md.research.elamur.ai/free/en/papers/emami-2019-knowref-coreference-corpus-removing-gender/)
772. [**The Computational Complexity of Avoiding Conversational Implicatures**Ehud Reiter*1990 · 73 citations*](https://md.research.elamur.ai/free/en/papers/reiter-1990-computational-complexity-avoiding-conversational-implicatures/)
773. [**Chinese Zero Pronoun Resolution with Deep Neural Networks**Chen Chen, Vincent Ng*2016 · 72 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-chinese-zero-pronoun-resolution-deep/)
774. [**Semantic Class Induction and Coreference Resolution**Vincent Ng*2007 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ng-2007-semantic-class-induction-coreference-resolution/)
775. [**Learning Noun Phrase Anaphoricity to Improve Conference Resolution: Issues in Representation and Optimization**Vincent Ng*2004 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ng-2004-learning-noun-phrase-anaphoricity-improve/)
776. [**Generating Entailment Rules from FrameNet**Roni Ben Aharon, Idan Szpektor, Ido Dagan*2010 · 71 citations*](https://md.research.elamur.ai/free/en/papers/aharon-2010-generating-entailment-rules-framenet/)
777. [**Discourse Relations: A Structural and Presuppositional Account Using Lexicalised TAG**Bonnie Webber, Alistair Knott, Matthew Stone, et al.*1999 · 70 citations*](https://md.research.elamur.ai/free/en/papers/webber-1999-discourse-relations-structural-presuppositional-account/)
778. [**Implicit Discourse Relation Classification: We Need to Talk about Evaluation**Najoung Kim, Song Feng, Chulaka Gunasekara, et al.*2020 · 69 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-implicit-discourse-relation-classification-we/)
779. [**Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures**Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou*2019 · 69 citations*](https://md.research.elamur.ai/free/en/papers/veyseh-2019-graph-based-neural-networks-event/)
780. [**Coreference Resolution Using Semantic Relatedness Information from Automatically Discovered Patterns**Xiaofeng Yang, Jian Su*2007 · 69 citations*](https://md.research.elamur.ai/free/en/papers/yang-2007-coreference-resolution-semantic-relatedness-information/)
781. [**IMPLI: Investigating NLI Models' Performance on Figurative Language**Kevin Stowe, Prasetya Utama, Iryna Gurevych*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/stowe-2022-impli-investigating-nli-models-performance/)
782. [**Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition**Man Lan, Yu Xu, Zhengyu Niu*2013 · 68 citations*](https://md.research.elamur.ai/free/en/papers/lan-2013-leveraging-synthetic-discourse-data-multi/)
783. [**FLSA: Extending Latent Semantic Analysis with Features for Dialogue Act Classification**Riccardo Serafin, Barbara Di Eugenio*2004 · 68 citations*](https://md.research.elamur.ai/free/en/papers/serafin-2004-flsa-extending-latent-semantic-analysis/)
784. [**CREPE: Open-Domain Question Answering with False Presuppositions**Xinyan Yu, Sewon Min, Luke Zettlemoyer, et al.*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-crepe-open-domain-question-answering/)
785. [**Deep Reinforcement Learning for Chinese Zero Pronoun Resolution**Qingyu Yin, Yu Zhang, Wei-Nan Zhang, et al.*2018 · 67 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-deep-reinforcement-learning-chinese-zero/)
786. [**Dynamic Routing Transformer Network for Multimodal Sarcasm Detection**Yuan Tian, Nan Xu, Ruike Zhang, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/tian-2023-dynamic-routing-transformer-network-multimodal/)
787. [**Multi-Relational Script Learning for Discourse Relations**I-Ta Lee, Dan Goldwasser*2019 · 66 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-multi-relational-script-learning-discourse/)
788. [**VALUE: Understanding Dialect Disparity in NLU**Caleb Ziems, Jiaao Chen, Camille Harris, et al.*2022 · 65 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2022-value-understanding-dialect-disparity-nlu/)
789. [**Multi-Domain Dialogue Acts and Response Co-Generation**Kai Wang, Junfeng Tian, Rui Wang, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/)
790. [**Idiom Token Classification using Sentential Distributed Semantics**Giancarlo Salton, Robert Ross, John Kelleher*2016 · 65 citations*](https://md.research.elamur.ai/free/en/papers/salton-2016-idiom-token-classification-sentential-distributed/)
791. [**Coordination Structures in Dependency Treebanks**Martin Popel, David Mareček, Jan Štěpánek, et al.*2013 · 65 citations*](https://md.research.elamur.ai/free/en/papers/popel-2013-coordination-structures-dependency-treebanks/)
792. [**It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books**Bingsheng Yao, Dakuo Wang, Tongshuang Wu, et al.*2022 · 64 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/)
793. [**Supersense Tagging of Unknown Nouns using Semantic Similarity**James Curran*2005 · 64 citations*](https://md.research.elamur.ai/free/en/papers/curran-2005-supersense-tagging-unknown-nouns-semantic/)
794. [**Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering**Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan, et al.*2021 · 63 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-which-linguist-invented-lightbulb-presupposition/)
795. [**A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure**Longyin Zhang, Yuqing Xing, Fang Kong, et al.*2020 · 63 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-top-down-neural-architecture-text/)
796. [**Improving Pronoun Resolution Using Statistics-Based Semantic Compatibility Information**Xiaofeng Yang, Jian Su, Chew Lim Tan*2005 · 63 citations*](https://md.research.elamur.ai/free/en/papers/yang-2005-improving-pronoun-resolution-statistics-based/)
797. [**Solving Thematic Divergences in Machine Translation**Bonnie Dorr*1990 · 63 citations*](https://md.research.elamur.ai/free/en/papers/dorr-1990-solving-thematic-divergences-machine-translation/)
798. [**Coreference Semantics from Web Features**Mohit Bansal, Dan Klein*2012 · 61 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2012-coreference-semantics-web-features/)
799. [**LegalAgentBench: Evaluating LLM Agents in Legal Domain**Haitao Li, Junjie Chen, Jingli Yang, et al.*2025 · 60 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-legalagentbench-evaluating-llm-agents-legal/)
800. [**An Affect-Enriched Dialogue Act Classification Model for Task-Oriented Dialogue**Kristy Boyer, Joseph Grafsgaard, Eun Young Ha, et al.*2011 · 60 citations*](https://md.research.elamur.ai/free/en/papers/boyer-2011-affect-enriched-dialogue-act-classification/)

[← prev](https://md.research.elamur.ai/free/en/venues/acl/works/page/7/) [1](https://md.research.elamur.ai/free/en/venues/acl/works/) … [7](https://md.research.elamur.ai/free/en/venues/acl/works/page/7/) **8** [9](https://md.research.elamur.ai/free/en/venues/acl/works/page/9/) [10](https://md.research.elamur.ai/free/en/venues/acl/works/page/10/) [11](https://md.research.elamur.ai/free/en/venues/acl/works/page/11/) [next →](https://md.research.elamur.ai/free/en/venues/acl/works/page/9/)

- [← back to](https://md.research.elamur.ai/free/en/venues/acl/) — Annual Meeting of the Association for Computational Linguistics (ACL)