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# Works of Association for Computational Linguistics

3,691 works · page 7 of 37 · the most cited first · [← Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/)

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601. [**Large language models are few-shot clinical information extractors**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 448 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)
602. [**CARER: Contextualized Affect Representations for Emotion Recognition**Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, et al.*2018 · 448 citations*](https://md.research.elamur.ai/free/en/papers/saravia-2018-carer-contextualized-affect-representations-emotion/)
603. [**A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts**Michael Thelen, Ellen Riloff*2002 · 448 citations*](https://md.research.elamur.ai/free/en/papers/thelen-2002-bootstrapping-method-learning-semantic-lexicons/)
604. [**Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets**Julia Kreutzer, Isaac Caswell, Lisa Wang, et al.*2021 · 447 citations*](https://md.research.elamur.ai/free/en/papers/kreutzer-2021-quality-glance-audit-web-crawled/)
605. [**Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks**Hua He, Kevin Gimpel, Jimmy Lin*2015 · 447 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-multi-perspective-sentence-similarity-modeling/)
606. [**Reading Level Assessment Using Support Vector Machines and Statistical Language Models**Sarah Schwarm, Mari Ostendorf*2005 · 447 citations*](https://md.research.elamur.ai/free/en/papers/schwarm-2005-reading-level-assessment-support-vector/)
607. [**HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization**Xingxing Zhang, Furu Wei, Ming Zhou*2019 · 446 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-hibert-document-level-pre-training/)
608. [**Context-Aware Neural Machine Translation Learns Anaphora Resolution**Elena Voita, Pavel Serdyukov, Rico Sennrich, et al.*2018 · 446 citations*](https://md.research.elamur.ai/free/en/papers/voita-2018-context-aware-neural-machine-translation/)
609. [**Neural Document Summarization by Jointly Learning to Score and Select Sentences**Qingyu Zhou, Nan Yang, Furu Wei, et al.*2018 · 446 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2018-neural-document-summarization-jointly-learning/)
610. [**A Multi-Pass Sieve for Coreference Resolution**Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, et al.*2010 · 446 citations*](https://md.research.elamur.ai/free/en/papers/raghunathan-2010-multi-pass-sieve-coreference-resolution/)
611. [**Contrastive Estimation: Training Log-Linear Models on Unlabeled Data**Noah A. Smith, Jason Eisner*2005 · 445 citations*](https://md.research.elamur.ai/free/en/papers/smith-2005-contrastive-estimation-training-log-linear/)
612. [**GeDi: Generative Discriminator Guided Sequence Generation**Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/)
613. [**How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models**Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al.*2021 · 444 citations*](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/)
614. [**Masked Language Model Scoring**Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.*2020 · 444 citations*](https://md.research.elamur.ai/free/en/papers/salazar-2020-masked-language-model-scoring/)
615. [**Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference**Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, et al.*2019 · 444 citations*](https://md.research.elamur.ai/free/en/papers/falke-2019-ranking-generated-summaries-correctness-interesting/)
616. [**OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs**Seungwhan Moon, Pararth Shah, Anuj Kumar, et al.*2019 · 444 citations*](https://md.research.elamur.ai/free/en/papers/moon-2019-opendialkg-explainable-conversational-reasoning-attention/)
617. [**Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation**Samuel Läubli, Rico Sennrich, Martin Volk*2018 · 443 citations*](https://md.research.elamur.ai/free/en/papers/laubli-2018-has-machine-translation-achieved-human/)
618. [**Modeling Joint Entity and Relation Extraction with Table Representation**Makoto Miwa, Yutaka Sasaki*2014 · 443 citations*](https://md.research.elamur.ai/free/en/papers/miwa-2014-modeling-joint-entity-relation-extraction/)
619. [**SemEval-2007 Task-17: English Lexical Sample, SRL and All Words**Sameer Pradhan, Edward Loper, Dmitriy Dligach, et al.*2007 · 442 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2007-semeval-2007-task-17-english/)
620. [**An IR Approach for Translating New Words from Nonparallel, Comparable Texts**Pascale Fung, Lo Yuen Yee*1998 · 442 citations*](https://md.research.elamur.ai/free/en/papers/fung-1998-ir-approach-translating-new-words/)
621. [**Findings of the 2013 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 441 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/)
622. [**Automatic construction of a hypernym-labeled noun hierarchy from text**Sharon A. Caraballo*1999 · 441 citations*](https://md.research.elamur.ai/free/en/papers/caraballo-1999-automatic-construction-hypernym-labeled-noun/)
623. [**DECISION LISTS FOR LEXICAL AMBIGUITY RESOLUTION: Application to Accent Restoration in Spanish and French**David Yarowsky*1994 · 441 citations*](https://md.research.elamur.ai/free/en/papers/yarowsky-1994-decision-lists-lexical-ambiguity-resolution/)
624. [**Temporal Analysis of Language through Neural Language Models**Yoon Kim, Yi-I Chiu, Kentaro Hanaki, et al.*2014 · 439 citations*](https://md.research.elamur.ai/free/en/papers/kim-2014-temporal-analysis-language-through-neural/)
625. [**Paraphrase-Driven Learning for Open Question Answering**Anthony Fader, Luke Zettlemoyer, Oren Etzioni*2013 · 438 citations*](https://md.research.elamur.ai/free/en/papers/fader-2013-paraphrase-driven-learning-open-question/)
626. [**Entity-Relation Extraction as Multi-Turn Question Answering**Xiaoya Li, Fan Yin, Zijun Sun, et al.*2019 · 437 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-entity-relation-extraction-as-multi/)
627. [**Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation**Matt Post, David Vilar*2018 · 437 citations*](https://md.research.elamur.ai/free/en/papers/post-2018-fast-lexically-constrained-decoding-dynamic/)
628. [**The NomBank Project: An Interim Report**Adam Meyers, Ruth Reeves, Catherine Macleod, et al.*2004 · 437 citations*](https://md.research.elamur.ai/free/en/papers/meyers-2004-nombank-project-interim-report/)
629. [**GPT-NER: Named Entity Recognition via Large Language Models**Shuhe Wang, Xiaofei Sun, Xiaoya Li, et al.*2025 · 436 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-gpt-ner-named-entity-recognition/)
630. [**MuST-C: a Multilingual Speech Translation Corpus**Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, et al.*2019 · 436 citations*](https://md.research.elamur.ai/free/en/papers/gangi-2019-must-c-multilingual-speech-translation/)
631. [**Neural versus Phrase-Based Machine Translation Quality: a Case Study**Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo, et al.*2016 · 436 citations*](https://md.research.elamur.ai/free/en/papers/bentivogli-2016-neural-versus-phrase-based-machine/)
632. [**SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications**Isabelle Augenstein, Mrinal Das, Sebastian Riedel, et al.*2017 · 435 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2017-semeval-2017-task-10-scienceie/)
633. [**Recognizing Named Entities in Tweets**Xiaohua Liu, Shaodian Zhang, Furu Wei, et al.*2011 · 435 citations*](https://md.research.elamur.ai/free/en/papers/liu-2011-recognizing-named-entities-tweets/)
634. [**CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes**Sameer Pradhan, Lance Ramshaw, Mitchell Marcus, et al.*2011 · 434 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2011-conll-2011-shared-task-modeling/)
635. [**Improving Text Embeddings with Large Language Models**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2024 · 433 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-improving-text-embeddings-large-language/)
636. [**COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task**Ricardo Rei, José G. C. de Souza, Duarte Alves, et al.*2022 · 433 citations*](https://md.research.elamur.ai/free/en/papers/rei-2022-comet-22-unbabel-ist-2022/)
637. [**One-step and Two-step Classification for Abusive Language Detection on Twitter**Ji Ho Park, Pascale Fung*2017 · 433 citations*](https://md.research.elamur.ai/free/en/papers/park-2017-one-step-two-step-classification/)
638. [**Manual and Automatic Evaluation of Machine Translation between European Languages**Philipp Koehn, Christof Monz*2006 · 433 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2006-manual-automatic-evaluation-machine-translation/)
639. [**Document-Level Event Argument Extraction by Conditional Generation**Sha Li, Heng Ji, Jiawei Han*2021 · 432 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-document-level-event-argument-extraction/)
640. [**Self-Alignment Pretraining for Biomedical Entity Representations**Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, et al.*2021 · 432 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-self-alignment-pretraining-biomedical-entity/)
641. [**oLMpics — On what Language Model Pre-training Captures**Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.*2019 · 432 citations*](https://md.research.elamur.ai/free/en/papers/talmor-2019-olmpics-language-model-pre-training/)
642. [**Unsupervised Statistical Machine Translation**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2018 · 432 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2018-unsupervised-statistical-machine-translation/)
643. [**Multi-Source Neural Translation**Barret Zoph, Kevin Knight*2016 · 432 citations*](https://md.research.elamur.ai/free/en/papers/zoph-2016-multi-source-neural-translation/)
644. [**PATTY: A Taxonomy of Relational Patterns with Semantic Types**Ndapandula Nakashole, Gerhard Weikum, Fabian Suchanek*2012 · 432 citations*](https://md.research.elamur.ai/free/en/papers/nakashole-2012-patty-taxonomy-relational-patterns-semantic/)
645. [**Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly**Nora Kassner, Hinrich Schütze*2020 · 431 citations*](https://md.research.elamur.ai/free/en/papers/kassner-2020-negated-misprimed-probes-pretrained-language/)
646. [**Deep Communicating Agents for Abstractive Summarization**Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.*2018 · 431 citations*](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/)
647. [**Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora**William L. Hamilton, Kevin Clark, Jure Leskovec, et al.*2016 · 431 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-inducing-domain-specific-sentiment-lexicons/)
648. [**Word-Based Dialog State Tracking with Recurrent Neural Networks**Matthew Henderson, Blaise Thomson, Steve Young*2014 · 431 citations*](https://md.research.elamur.ai/free/en/papers/henderson-2014-word-based-dialog-state-tracking/)
649. [**A Unigram Orientation Model for Statistical Machine Translation**Christoph Tillmann*2004 · 430 citations*](https://md.research.elamur.ai/free/en/papers/tillmann-2004-unigram-orientation-model-statistical-machine/)
650. [**Experience Grounds Language**Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.*2020 · 429 citations*](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/)
651. [**A general framework for information extraction using dynamic span graphs**Yi Luan, Dave Wadden, Luheng He, et al.*2019 · 427 citations*](https://md.research.elamur.ai/free/en/papers/luan-2019-general-framework-information-extraction-dynamic/)
652. [**SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours**Leon Derczynski, Kalina Bontcheva, Maria Liakata, et al.*2017 · 427 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-semeval-2017-task-8-rumoureval/)
653. [**Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation**Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda, et al.*2016 · 427 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2016-joint-learning-embedding-words-entities/)
654. [**Benchmarking Retrieval-Augmented Generation for Medicine**Guangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.*2024 · 426 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/)
655. [**Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures**Wenqiang Lei, Xisen Jin, Min-Yen Kan, et al.*2018 · 426 citations*](https://md.research.elamur.ai/free/en/papers/lei-2018-sequicity-simplifying-task-oriented-dialogue/)
656. [**Learning Bilingual Lexicons from Monolingual Corpora**Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, et al.*2008 · 426 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2008-learning-bilingual-lexicons-monolingual-corpora/)
657. [**The Internal State of an LLM Knows When It's Lying**Amos Azaria, Tom Mitchell*2023 · 425 citations*](https://md.research.elamur.ai/free/en/papers/azaria-2023-internal-state-llm-knows-when/)
658. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*2017 · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)
659. [**Natural Language Inference by Tree-Based Convolution and Heuristic Matching**Lili Mou, Rui Men, Ge Li, et al.*2016 · 425 citations*](https://md.research.elamur.ai/free/en/papers/mou-2016-natural-language-inference-tree-based/)
660. [**How we BLESSed distributional semantic evaluation**Marco Baroni, Alessandro Lenci*2011 · 425 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2011-how-we-blessed-distributional-semantic/)
661. [**Controlling Linguistic Style Aspects in Neural Language Generation**Jessica Ficler, Yoav Goldberg*2017 · 424 citations*](https://md.research.elamur.ai/free/en/papers/ficler-2017-controlling-linguistic-style-aspects-neural/)
662. [**Controllable Abstractive Summarization**Angela Fan, David Grangier, Michael Auli*2018 · 423 citations*](https://md.research.elamur.ai/free/en/papers/fan-2018-controllable-abstractive-summarization/)
663. [**The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation**Jan-Christoph Klie, Michael Bugert, Beto Boullosa, et al.*2018 · 422 citations*](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/)
664. [**Improving Coreference Resolution by Learning Entity-Level Distributed Representations**Kevin Clark, Christopher D. Manning*2016 · 422 citations*](https://md.research.elamur.ai/free/en/papers/clark-2016-improving-coreference-resolution-learning-entity/)
665. [**Phrase Dependency Parsing for Opinion Mining**Yuanbin Wu, Qi Zhang, Xuanjing Huang, et al.*2009 · 422 citations*](https://md.research.elamur.ai/free/en/papers/wu-2009-phrase-dependency-parsing-opinion-mining/)
666. [**Template-Based Named Entity Recognition Using BART**Leyang Cui, Yu Wu, Jian Liu, et al.*2021 · 420 citations*](https://md.research.elamur.ai/free/en/papers/cui-2021-template-based-named-entity-recognition/)
667. [**Event Extraction as Machine Reading Comprehension**Jian Liu, Yubo Chen, Kang Liu, et al.*2020 · 420 citations*](https://md.research.elamur.ai/free/en/papers/liu-2020-event-extraction-as-machine-reading/)
668. [**Iterative Back-Translation for Neural Machine Translation**Vu Cong Duy Hoang, Philipp Koehn, Gholamreza Haffari, et al.*2018 · 420 citations*](https://md.research.elamur.ai/free/en/papers/hoang-2018-iterative-back-translation-neural-machine/)
669. [**Optimizing Chinese Word Segmentation for Machine Translation Performance**Pi-Chuan Chang, Michel Galley, Christopher D. Manning*2008 · 420 citations*](https://md.research.elamur.ai/free/en/papers/chang-2008-optimizing-chinese-word-segmentation-machine/)
670. [**Data Augmentation for Low-Resource Neural Machine Translation**Marzieh Fadaee, Arianna Bisazza, Christof Monz*2017 · 419 citations*](https://md.research.elamur.ai/free/en/papers/fadaee-2017-data-augmentation-low-resource-neural/)
671. [**ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning**Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.*2023 · 418 citations*](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/)
672. [**Deal or No Deal? End-to-End Learning of Negotiation Dialogues**Mike Lewis, Denis Yarats, Yann Dauphin, et al.*2017 · 418 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2017-deal-or-no-deal-end/)
673. [**Tailoring Continuous Word Representations for Dependency Parsing**Mohit Bansal, Kevin Gimpel, Karen Livescu*2014 · 418 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2014-tailoring-continuous-word-representations-dependency/)
674. [**Automatic sense prediction for implicit discourse relations in text**Emily Pitler, Annie Louis, Ani Nenkova*2009 · 418 citations*](https://md.research.elamur.ai/free/en/papers/pitler-2009-automatic-sense-prediction-implicit-discourse/)
675. [**Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics**Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov*2021 · 417 citations*](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/)
676. [**Incrementality in Deterministic Dependency Parsing**Joakim Nivre*2004 · 417 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2004-incrementality-deterministic-dependency-parsing/)
677. [**Recognizing Stances in Ideological On-Line Debates**Swapna Somasundaran, Janyce Wiebe*2010 · 416 citations*](https://md.research.elamur.ai/free/en/papers/somasundaran-2010-recognizing-stances-ideological-line-debates/)
678. [**75 Languages, 1 Model: Parsing Universal Dependencies Universally**Dan Kondratyuk, Milan Straka*2019 · 415 citations*](https://md.research.elamur.ai/free/en/papers/kondratyuk-2019-75-languages-1-model-parsing/)
679. [**Harnessing Context Incongruity for Sarcasm Detection**Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya*2015 · 415 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2015-harnessing-context-incongruity-sarcasm-detection/)
680. [**Word Sense Disambiguation Improves Statistical Machine Translation**Yee Seng Chan, Hwee Tou Ng, David Chiang*2007 · 415 citations*](https://md.research.elamur.ai/free/en/papers/chan-2007-word-sense-disambiguation-improves-statistical/)
681. [**Measuring the Semantic Similarity of Texts**Courtney Corley, Rada Mihalcea*2005 · 415 citations*](https://md.research.elamur.ai/free/en/papers/corley-2005-measuring-semantic-similarity-texts/)
682. [**Weight Poisoning Attacks on Pretrained Models**Keita Kurita, Paul Michel, Graham Neubig*2020 · 414 citations*](https://md.research.elamur.ai/free/en/papers/kurita-2020-weight-poisoning-attacks-pretrained-models/)
683. [**PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification**Ellie Pavlick, Pushpendre Rastogi, Juri Ganitkevitch, et al.*2015 · 414 citations*](https://md.research.elamur.ai/free/en/papers/pavlick-2015-ppdb-2-0-better-paraphrase/)
684. [**Gender and Dialect Bias in YouTube's Automatic Captions**Rachael Tatman*2017 · 413 citations*](https://md.research.elamur.ai/free/en/papers/tatman-2017-gender-dialect-bias-youtube-s/)
685. [**Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them**Hila Gonen, Yoav Goldberg*2019 · 412 citations*](https://md.research.elamur.ai/free/en/papers/gonen-2019-lipstick-pig-debiasing-methods-cover/)
686. [**Recognizing Implicit Discourse Relations in the Penn Discourse Treebank**Ziheng Lin, Min-Yen Kan, Hwee Tou Ng*2009 · 412 citations*](https://md.research.elamur.ai/free/en/papers/lin-2009-recognizing-implicit-discourse-relations-penn/)
687. [**Factual Probing Is MASK: Learning vs. Learning to Recall**Zexuan Zhong, Dan Friedman, Danqi Chen*2021 · 411 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/)
688. [**Document-Level Neural Machine Translation with Hierarchical Attention Networks**Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al.*2018 · 411 citations*](https://md.research.elamur.ai/free/en/papers/miculicich-2018-document-level-neural-machine-translation/)
689. [**Abusive Language Detection on Arabic Social Media**Hamdy Mubarak, Kareem Darwish, Walid Magdy*2017 · 411 citations*](https://md.research.elamur.ai/free/en/papers/mubarak-2017-abusive-language-detection-arabic-social/)
690. [**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/)
691. [**CLPsych 2015 Shared Task: Depression and PTSD on Twitter**Glen Coppersmith, Mark Dredze, Craig Harman, et al.*2015 · 410 citations*](https://md.research.elamur.ai/free/en/papers/coppersmith-2015-clpsych-2015-shared-task-depression/)
692. [**SemEval-2019 Task 3: EmoContext Contextual Emotion Detection in Text**Ankush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, et al.*2019 · 409 citations*](https://md.research.elamur.ai/free/en/papers/chatterjee-2019-semeval-2019-task-3-emocontext/)
693. [**Lattice-based Minimum Error Rate Training for Statistical Machine Translation**Wolfgang Macherey, Franz Och, Ignacio Thayer, et al.*2008 · 409 citations*](https://md.research.elamur.ai/free/en/papers/macherey-2008-lattice-based-minimum-error-rate/)
694. [**A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support**Ashish Sharma, Adam Miner, David Atkins, et al.*2020 · 408 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2020-computational-approach-understanding-empathy-expressed/)
695. [**Multilingual and Multi-Aspect Hate Speech Analysis**Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, et al.*2019 · 408 citations*](https://md.research.elamur.ai/free/en/papers/ousidhoum-2019-multilingual-multi-aspect-hate-speech/)
696. [**Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network**Xiangyang Zhou, Lu Li, Daxiang Dong, et al.*2018 · 408 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2018-multi-turn-response-selection-chatbots/)
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