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# Works of Association for Computational Linguistics

3,691 works · page 10 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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901. [**Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages**Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al.*2020 · 333 citations*](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/)
902. [**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/)
903. [**Problems With Evaluation of Word Embeddings Using Word Similarity Tasks**Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, et al.*2016 · 332 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2016-problems-evaluation-word-embeddings-word/)
904. [**Learning a Translation Lexicon from Monolingual Corpora**Philipp Koehn, Kevin Knight*2002 · 332 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2002-learning-translation-lexicon-monolingual-corpora/)
905. [**TimeLMs: Diachronic Language Models from Twitter**Daniel Loureiro, Francesco Barbieri, Leonardo Neves, et al.*2022 · 331 citations*](https://md.research.elamur.ai/free/en/papers/loureiro-2022-timelms-diachronic-language-models-twitter/)
906. [**ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language**Oyvind Tafjord, Bhavana Dalvi, Peter Clark*2021 · 331 citations*](https://md.research.elamur.ai/free/en/papers/tafjord-2021-proofwriter-generating-implications-proofs-abductive/)
907. [**A Graph-to-Sequence Model for AMR-to-Text Generation**Linfeng Song, Yue Zhang, Zhiguo Wang, et al.*2018 · 329 citations*](https://md.research.elamur.ai/free/en/papers/song-2018-graph-sequence-model-amr-text/)
908. [**Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval**Luyu Gao, Jamie Callan*2022 · 328 citations*](https://md.research.elamur.ai/free/en/papers/gao-2022-unsupervised-corpus-aware-language-model/)
909. [**Massively Multilingual Transfer for NER**Afshin Rahimi, Yuan Li, Trevor Cohn*2019 · 328 citations*](https://md.research.elamur.ai/free/en/papers/rahimi-2019-massively-multilingual-transfer-ner/)
910. [**RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning**Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.*2022 · 327 citations*](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/)
911. [**Search-based Neural Structured Learning for Sequential Question Answering**Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang*2017 · 327 citations*](https://md.research.elamur.ai/free/en/papers/iyyer-2017-search-based-neural-structured-learning/)
912. [**Learning Semantic Hierarchies via Word Embeddings**Ruiji Fu, Jiang Guo, Bing Qin, et al.*2014 · 327 citations*](https://md.research.elamur.ai/free/en/papers/fu-2014-learning-semantic-hierarchies-word-embeddings/)
913. [**Unsupervised Domain Clusters in Pretrained Language Models**Roee Aharoni, Yoav Goldberg*2020 · 326 citations*](https://md.research.elamur.ai/free/en/papers/aharoni-2020-unsupervised-domain-clusters-pretrained-language/)
914. [**Frames: a corpus for adding memory to goal-oriented dialogue systems**Layla El Asri, Hannes Schulz, Shikhar Sharma, et al.*2017 · 326 citations*](https://md.research.elamur.ai/free/en/papers/asri-2017-frames-corpus-adding-memory-goal/)
915. [**CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task**Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, et al.*2022 · 325 citations*](https://md.research.elamur.ai/free/en/papers/rei-2022-cometkiwi-ist-unbabel-2022-submission/)
916. [**Aspect Sentiment Quad Prediction as Paraphrase Generation**Wenxuan Zhang, Yang Deng, Xin Li, et al.*2021 · 325 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/)
917. [**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/)
918. [**Frustratingly Easy Domain Adaptation**Daumé III, Hal*2007 · 325 citations*](https://md.research.elamur.ai/free/en/papers/iii-2007-frustratingly-easy-domain-adaptation/)
919. [**A Dataset for Document Grounded Conversations**Kangyan Zhou, Shrimai Prabhumoye, Alan W Black*2018 · 324 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2018-dataset-document-grounded-conversations/)
920. [**Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change**William L. Hamilton, Jure Leskovec, Dan Jurafsky*2016 · 324 citations*](https://md.research.elamur.ai/free/en/papers/hamilton-2016-cultural-shift-or-linguistic-drift/)
921. [**Tagged Back-Translation**Isaac Caswell, Ciprian Chelba, David Grangier*2019 · 323 citations*](https://md.research.elamur.ai/free/en/papers/caswell-2019-tagged-back-translation/)
922. [**Controlling Output Length in Neural Encoder-Decoders**Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.*2016 · 323 citations*](https://md.research.elamur.ai/free/en/papers/kikuchi-2016-controlling-output-length-neural-encoder/)
923. [**SemEval-2007 Task 10: English Lexical Substitution Task**Diana McCarthy, Roberto Navigli*2007 · 323 citations*](https://md.research.elamur.ai/free/en/papers/mccarthy-2007-semeval-2007-task-10-english/)
924. [**The Fact Extraction and VERification (FEVER) Shared Task**James Thorne, Andreas Vlachos, Oana Cocarascu, et al.*2018 · 322 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-fact-extraction-verification-fever-shared/)
925. [**Question-Answer Driven Semantic Role Labeling: Using Natural Language to Annotate Natural Language**Luheng He, Mike Lewis, Luke Zettlemoyer*2015 · 322 citations*](https://md.research.elamur.ai/free/en/papers/he-2015-question-answer-driven-semantic-role/)
926. [**Robust Neural Machine Translation with Doubly Adversarial Inputs**Yong Cheng, Lu Jiang, Wolfgang Macherey*2019 · 321 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2019-robust-neural-machine-translation-doubly/)
927. [**When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion**Elena Voita, Rico Sennrich, Ivan Titov*2019 · 321 citations*](https://md.research.elamur.ai/free/en/papers/voita-2019-when-good-translation-is-wrong/)
928. [**Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation**Antonio Toral, Sheila Castilho, Ke Hu, et al.*2018 · 321 citations*](https://md.research.elamur.ai/free/en/papers/toral-2018-attaining-unattainable-reassessing-claims-human/)
929. [**Simple English Wikipedia: A New Text Simplification Task**William Coster, David Kauchak*2011 · 321 citations*](https://md.research.elamur.ai/free/en/papers/coster-2011-simple-english-wikipedia-new-text/)
930. [**Using Cross-Entity Inference to Improve Event Extraction**Yu Hong, Jianfeng Zhang, Bin Ma, et al.*2011 · 321 citations*](https://md.research.elamur.ai/free/en/papers/hong-2011-cross-entity-inference-improve-event/)
931. [**Paraphrasing for Automatic Evaluation**David Kauchak, Regina Barzilay*2006 · 321 citations*](https://md.research.elamur.ai/free/en/papers/kauchak-2006-paraphrasing-automatic-evaluation/)
932. [**Multilingual Dependency Analysis with a Two-Stage Discriminative Parser**Ryan McDonald, Kevin Lerman, Fernando Pereira*2006 · 321 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2006-multilingual-dependency-analysis-two-stage/)
933. [**Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection**Bertie Vidgen, Tristan Thrush, Zeerak Waseem, et al.*2021 · 320 citations*](https://md.research.elamur.ai/free/en/papers/vidgen-2021-learning-worst-dynamically-generated-datasets/)
934. [**Probing Pretrained Language Models for Lexical Semantics**Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, et al.*2020 · 320 citations*](https://md.research.elamur.ai/free/en/papers/vulic-2020-probing-pretrained-language-models-lexical/)
935. [**Rapid Adaptation of Neural Machine Translation to New Languages**Graham Neubig, Junjie Hu*2018 · 320 citations*](https://md.research.elamur.ai/free/en/papers/neubig-2018-rapid-adaptation-neural-machine-translation/)
936. [**A Comparison of Vector-based Representations for Semantic Composition**William Blacoe, Mirella Lapata*2012 · 320 citations*](https://md.research.elamur.ai/free/en/papers/blacoe-2012-comparison-vector-based-representations-semantic/)
937. [**PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable**Siqi Bao, Huang He, Fan Wang, et al.*2020 · 319 citations*](https://md.research.elamur.ai/free/en/papers/bao-2020-plato-pre-trained-dialogue-generation/)
938. [**Paraphrasing Revisited with Neural Machine Translation**Jonathan Mallinson, Rico Sennrich, Mirella Lapata*2017 · 319 citations*](https://md.research.elamur.ai/free/en/papers/mallinson-2017-paraphrasing-revisited-neural-machine-translation/)
939. [**Improving Hypernymy Detection with an Integrated Path-based and Distributional Method**Vered Shwartz, Yoav Goldberg, Ido Dagan*2016 · 319 citations*](https://md.research.elamur.ai/free/en/papers/shwartz-2016-improving-hypernymy-detection-integrated-path/)
940. [**Correcting ESL Errors Using Phrasal SMT Techniques**Chris Brockett, William B. Dolan, Michael Gamon*2006 · 319 citations*](https://md.research.elamur.ai/free/en/papers/brockett-2006-correcting-esl-errors-phrasal-smt/)
941. [**An Empirical Model of Multiword Expression Decomposability**Timothy Baldwin, Colin Bannard, Takaaki Tanaka, et al.*2003 · 319 citations*](https://md.research.elamur.ai/free/en/papers/baldwin-2003-empirical-model-multiword-expression-decomposability/)
942. [**MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims**Isabelle Augenstein, Christina Lioma, Dongsheng Wang, et al.*2019 · 318 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2019-multifc-real-world-multi-domain/)
943. [**Entailment above the word level in distributional semantics**Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, et al.*2012 · 318 citations*](https://md.research.elamur.ai/free/en/papers/baroni-2012-entailment-above-word-level-distributional/)
944. [**N-gram-based Machine Translation**José Mariño, Rafael E. Banchs, Josep M. Crego, et al.*2006 · 318 citations*](https://md.research.elamur.ai/free/en/papers/marino-2006-n-gram-based-machine-translation/)
945. [**On Some Pitfalls in Automatic Evaluation and Significance Testing for MT**Stefan Riezler, John T. Maxwell*2005 · 318 citations*](https://md.research.elamur.ai/free/en/papers/riezler-2005-some-pitfalls-automatic-evaluation-significance/)
946. [**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/)
947. [**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/)
948. [**CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Jan Hajič, Martin Popel, et al.*2018 · 316 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2018-conll-2018-shared-task-multilingual/)
949. [**An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation**Chenhui Chu, Raj Dabre, Sadao Kurohashi*2017 · 316 citations*](https://md.research.elamur.ai/free/en/papers/chu-2017-empirical-comparison-domain-adaptation-methods/)
950. [**SemEval-2016 Task 3: Community Question Answering**Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, et al.*2016 · 316 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-3-community/)
951. [**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/)
952. [**SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity**Daniela Gerz, Ivan Vulić, Felix Hill, et al.*2016 · 315 citations*](https://md.research.elamur.ai/free/en/papers/gerz-2016-simverb-3500-large-scale-evaluation/)
953. [**Supervised Noun Phrase Coreference Research: The First Fifteen Years**Vincent Ng*2010 · 315 citations*](https://md.research.elamur.ai/free/en/papers/ng-2010-supervised-noun-phrase-coreference-research/)
954. [**Anaphora and Discourse Structure**Bonnie Webber, Matthew Stone, Aravind Joshi, et al.*2003 · 315 citations*](https://md.research.elamur.ai/free/en/papers/webber-2003-anaphora-discourse-structure/)
955. [**LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion**Dongfu Jiang, Xiang Ren, Bill Yuchen Lin*2023 · 314 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-llm-blender-ensembling-large-language/)
956. [**Explainable Automated Fact-Checking for Public Health Claims**Neema Kotonya, Francesca Toni*2020 · 314 citations*](https://md.research.elamur.ai/free/en/papers/kotonya-2020-explainable-automated-fact-checking-public/)
957. [**Decoding with Large-Scale Neural Language Models Improves Translation**Ashish Vaswani, Yinggong Zhao, Victoria Fossum, et al.*2013 · 314 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2013-decoding-large-scale-neural-language/)
958. [**Chinese Syntactic Reordering for Statistical Machine Translation**Chao Wang, Michael Collins, Philipp Koehn*2007 · 314 citations*](https://md.research.elamur.ai/free/en/papers/wang-2007-chinese-syntactic-reordering-statistical-machine/)
959. [**Choosing Transfer Languages for Cross-Lingual Learning**Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, et al.*2019 · 313 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-choosing-transfer-languages-cross-lingual/)
960. [**Unsupervised Pretraining for Sequence to Sequence Learning**Prajit Ramachandran, Peter Liu, Quoc Le*2017 · 312 citations*](https://md.research.elamur.ai/free/en/papers/ramachandran-2017-unsupervised-pretraining-sequence-sequence-learning/)
961. [**Fast Decoding and Optimal Decoding for Machine Translation**Ulrich Germann, Michael Jahr, Kevin Knight, et al.*2001 · 312 citations*](https://md.research.elamur.ai/free/en/papers/germann-2001-fast-decoding-optimal-decoding-machine/)
962. [**Analogy-based detection of morphological and semantic relations with word embeddings: what works and what doesn't.**Anna Gladkova, Aleksandr Drozd, Satoshi Matsuoka*2016 · 311 citations*](https://md.research.elamur.ai/free/en/papers/gladkova-2016-analogy-based-detection-morphological-semantic/)
963. [**On Improving the Accuracy of Readability Classification using Insights from Second Language Acquisition**Sowmya Vajjala, Detmar Meurers*2012 · 311 citations*](https://md.research.elamur.ai/free/en/papers/vajjala-2012-improving-accuracy-readability-classification-insights/)
964. [**Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles**Kenji Sagae, Jun'ichi Tsujii*2007 · 311 citations*](https://md.research.elamur.ai/free/en/papers/sagae-2007-dependency-parsing-domain-adaptation-lr/)
965. [**The Senseval-3 English lexical sample task**Rada Mihalcea, Timothy Chklovski, Adam Kilgarriff*2004 · 311 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2004-senseval-3-english-lexical-sample/)
966. [**On the Practical Computational Power of Finite Precision RNNs for Language Recognition**Gail Weiss, Yoav Goldberg, Eran Yahav*2018 · 310 citations*](https://md.research.elamur.ai/free/en/papers/weiss-2018-practical-computational-power-finite-precision/)
967. [**Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments**Michael Mohler, Razvan Bunescu, Rada Mihalcea*2011 · 310 citations*](https://md.research.elamur.ai/free/en/papers/mohler-2011-learning-grade-short-answer-questions/)
968. [**Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms**Shulin Liu, Yubo Chen, Kang Liu, et al.*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-exploiting-argument-information-improve-event/)
969. [**A Minimal Span-Based Neural Constituency Parser**Mitchell Stern, Jacob Andreas, Dan Klein*2017 · 309 citations*](https://md.research.elamur.ai/free/en/papers/stern-2017-minimal-span-based-neural-constituency/)
970. [**ParaCrawl: Web-Scale Acquisition of Parallel Corpora**Marta Bañón, Pinzhen Chen, Barry Haddow, et al.*2020 · 308 citations*](https://md.research.elamur.ai/free/en/papers/banon-2020-paracrawl-web-scale-acquisition-parallel/)
971. [**Get out the vote: Determining support or opposition from Congressional floor-debate transcripts**Matt Thomas, Bo Pang, Lillian Lee*2006 · 307 citations*](https://md.research.elamur.ai/free/en/papers/thomas-2006-get-out-vote-determining-support/)
972. [**Multi-hop Reading Comprehension through Question Decomposition and Rescoring**Sewon Min, Victor Zhong, Luke Zettlemoyer, et al.*2019 · 306 citations*](https://md.research.elamur.ai/free/en/papers/min-2019-multi-hop-reading-comprehension-through/)
973. [**Computational Argumentation Quality Assessment in Natural Language**Henning Wachsmuth, Nona Naderi, Yufang Hou, et al.*2017 · 306 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2017-computational-argumentation-quality-assessment-natural/)
974. [**Recognising Textual Entailment with Logical Inference**Johan Bos, Katja Markert*2005 · 306 citations*](https://md.research.elamur.ai/free/en/papers/bos-2005-recognising-textual-entailment-logical-inference/)
975. [**From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models**Shangbin Feng, Chan Young Park, Yuhan Liu, et al.*2023 · 305 citations*](https://md.research.elamur.ai/free/en/papers/feng-2023-pretraining-data-language-models-downstream/)
976. [**Good-Enough Compositional Data Augmentation**Jacob Andreas*2020 · 305 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2020-good-enough-compositional-data-augmentation/)
977. [**Challenges and frontiers in abusive content detection**Bertie Vidgen, Alex Harris, Dong Nguyen, et al.*2019 · 305 citations*](https://md.research.elamur.ai/free/en/papers/vidgen-2019-challenges-frontiers-abusive-content-detection/)
978. [**Identifying beneficial task relations for multi-task learning in deep neural networks**Joachim Bingel, Anders Søgaard*2017 · 305 citations*](https://md.research.elamur.ai/free/en/papers/bingel-2017-identifying-beneficial-task-relations-multi/)
979. [**Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation**George Foster, Cyril Goutte, Roland Kuhn*2010 · 305 citations*](https://md.research.elamur.ai/free/en/papers/foster-2010-discriminative-instance-weighting-domain-adaptation/)
980. [**Learning Dense Representations for Entity Retrieval**Daniel Gillick, Sayali Kulkarni, Larry Lansing, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/gillick-2019-learning-dense-representations-entity-retrieval/)
981. [**Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering**Zhiguo Wang, Patrick Ng, Xiaofei Ma, et al.*2019 · 304 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-multi-passage-bert-globally-normalized/)
982. [**A Survey of Domain Adaptation for Neural Machine Translation**Chenhui Chu, Rui Wang*2018 · 304 citations*](https://md.research.elamur.ai/free/en/papers/chu-2018-survey-domain-adaptation-neural-machine/)
983. [**SemEval 2016 Task 11: Complex Word Identification**Gustavo Paetzold, Lucia Specia*2016 · 304 citations*](https://md.research.elamur.ai/free/en/papers/paetzold-2016-semeval-2016-task-11-complex/)
984. [**Automated Fact Checking: Task Formulations, Methods and Future Directions**James Thorne, Andreas Vlachos*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/thorne-2018-automated-fact-checking-task-formulations/)
985. [**UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task**Milan Straka*2018 · 303 citations*](https://md.research.elamur.ai/free/en/papers/straka-2018-udpipe-2-0-prototype-conll/)
986. [**Overview for the First Shared Task on Language Identification in Code-Switched Data**Thamar Solorio, Elizabeth Blair, Suraj Maharjan, et al.*2014 · 303 citations*](https://md.research.elamur.ai/free/en/papers/solorio-2014-overview-first-shared-task-language/)
987. [**Large Language Models are Better Reasoners with Self-Verification**Yixuan Weng, Minjun Zhu, Fei Xia, et al.*2023 · 302 citations*](https://md.research.elamur.ai/free/en/papers/weng-2023-large-language-models-are-better/)
988. [**Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM**Ivan Habernal, Iryna Gurevych*2016 · 302 citations*](https://md.research.elamur.ai/free/en/papers/habernal-2016-which-argument-is-more-convincing/)
989. [**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/)
990. [**An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation**Yoong Keok Lee, Hwee Tou Ng*2002 · 302 citations*](https://md.research.elamur.ai/free/en/papers/lee-2002-empirical-evaluation-knowledge-sources-learning/)
991. [**DialogSum: A Real-Life Scenario Dialogue Summarization Dataset**Yulong Chen, Yang Liu, Liang Chen, et al.*2021 · 301 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-dialogsum-real-life-scenario-dialogue/)
992. [**A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling**Haihong E, Peiqing Niu, Zhongfu Chen, et al.*2019 · 301 citations*](https://md.research.elamur.ai/free/en/papers/e-2019-novel-bi-directional-interrelated-model/)
993. [**MoEL: Mixture of Empathetic Listeners**Zhaojiang Lin, Andrea Madotto, Jamin Shin, et al.*2019 · 301 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-moel-mixture-empathetic-listeners/)
994. [**Learning to Write with Cooperative Discriminators**Ari Holtzman, Jan Buys, Maxwell Forbes, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/holtzman-2018-learning-write-cooperative-discriminators/)
995. [**Learning Named Entity Tagger using Domain-Specific Dictionary**Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/shang-2018-learning-named-entity-tagger-domain/)
996. [**Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach**Jingjing Xu, Xu Sun, Qi Zeng, et al.*2018 · 301 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-unpaired-sentiment-sentiment-translation-cycled/)
997. [**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/)
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