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# Works of Association for Computational Linguistics

3,691 works · page 3 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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201. [**DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs**Dheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.*2019 · 941 citations*](https://md.research.elamur.ai/free/en/papers/dua-2019-drop-reading-comprehension-benchmark-requiring/)
202. [**Improved Inference for Unlexicalized Parsing**Slav Petrov, Dan Klein*2007 · 941 citations*](https://md.research.elamur.ai/free/en/papers/petrov-2007-improved-inference-unlexicalized-parsing/)
203. [**Bottom-Up Abstractive Summarization**Sebastian Gehrmann, Yuntian Deng, Alexander Rush*2018 · 939 citations*](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/)
204. [**Exploring Various Knowledge in Relation Extraction**GuoDong Zhou, Jian Su, Jie Zhang, et al.*2005 · 937 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2005-exploring-various-knowledge-relation-extraction/)
205. [**Adversarial Example Generation with Syntactically Controlled Paraphrase Networks**Mohit Iyyer, John Wieting, Kevin Gimpel, et al.*2018 · 936 citations*](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/)
206. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
207. [**Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction**Yi Luan, Luheng He, Mari Ostendorf, et al.*2018 · 933 citations*](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/)
208. [**Rationalizing Neural Predictions**Tao Lei, Regina Barzilay, Tommi Jaakkola*2016 · 928 citations*](https://md.research.elamur.ai/free/en/papers/lei-2016-rationalizing-neural-predictions/)
209. [**Modeling Coverage for Neural Machine Translation**Zhaopeng Tu, Zhengdong Lu, Yang Liu, et al.*2016 · 927 citations*](https://md.research.elamur.ai/free/en/papers/tu-2016-modeling-coverage-neural-machine-translation/)
210. [**Collecting Highly Parallel Data for Paraphrase Evaluation**David Chen, William Dolan*2011 · 926 citations*](https://md.research.elamur.ai/free/en/papers/chen-2011-collecting-highly-parallel-data-paraphrase/)
211. [**Findings of the 2014 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Christian Federmann, et al.*2014 · 923 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2014-findings-2014-workshop-statistical-machine/)
212. [**Improving Machine Learning Approaches to Coreference Resolution**Vincent Ng, Claire Cardie*2002 · 923 citations*](https://md.research.elamur.ai/free/en/papers/ng-2002-improving-machine-learning-approaches-coreference/)
213. [**Leveraging Linguistic Structure For Open Domain Information Extraction**Gabor Angeli, Melvin Jose Johnson Premkumar, Christopher D. Manning*2015 · 921 citations*](https://md.research.elamur.ai/free/en/papers/angeli-2015-leveraging-linguistic-structure-open-domain/)
214. [**Clause Restructuring for Statistical Machine Translation**Michael Collins, Philipp Koehn, Ivona Kučerová*2005 · 918 citations*](https://md.research.elamur.ai/free/en/papers/collins-2005-clause-restructuring-statistical-machine-translation/)
215. [**Deep Unordered Composition Rivals Syntactic Methods for Text Classification**Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, et al.*2015 · 914 citations*](https://md.research.elamur.ai/free/en/papers/iyyer-2015-deep-unordered-composition-rivals-syntactic/)
216. [**Modeling Local Coherence: An Entity-Based Approach**Regina Barzilay, Mirella Lapata*2008 · 912 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2008-modeling-local-coherence-entity-based/)
217. [**Universal Dependencies**Marie-Catherine de Marneffe, Christopher D. Manning, Joakim Nivre, et al.*2021 · 910 citations*](https://md.research.elamur.ai/free/en/papers/marneffe-2021-universal-dependencies-2/)
218. [**Applying Conditional Random Fields to Japanese Morphological Analysis**Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto*2004 · 909 citations*](https://md.research.elamur.ai/free/en/papers/kudo-2004-applying-conditional-random-fields-japanese/)
219. [**Dependency-Based Construction of Semantic Space Models**Sebastian Padó, Mirella Lapata*2007 · 906 citations*](https://md.research.elamur.ai/free/en/papers/pado-2007-dependency-based-construction-semantic-space/)
220. [**Representing Text for Joint Embedding of Text and Knowledge Bases**Kristina Toutanova, Danqi Chen, Patrick Pantel, et al.*2015 · 904 citations*](https://md.research.elamur.ai/free/en/papers/toutanova-2015-representing-text-joint-embedding-text/)
221. [**Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme**Suncong Zheng, Feng Wang, Hongyun Bao, et al.*2017 · 902 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2017-joint-extraction-entities-relations-based/)
222. [**Introduction to the CoNLL-2005 Shared Task: Semantic Role Labeling**Xavier Carreras, Lluís Màrquez*2005 · 899 citations*](https://md.research.elamur.ai/free/en/papers/carreras-2005-introduction-conll-2005-shared-task/)
223. [**Using the Output Embedding to Improve Language Models**Ofir Press, Lior Wolf*2017 · 891 citations*](https://md.research.elamur.ai/free/en/papers/press-2017-output-embedding-improve-language-models/)
224. [**CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models**Nikita Nangia, Clara Vania, Rasika Bhalerao, et al.*2020 · 886 citations*](https://md.research.elamur.ai/free/en/papers/nangia-2020-crows-pairs-challenge-dataset-measuring/)
225. [**Is Attention Interpretable?**Sofia Serrano, Noah A. Smith*2019 · 885 citations*](https://md.research.elamur.ai/free/en/papers/serrano-2019-is-attention-interpretable/)
226. [**Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency**Shuhuai Ren, Yihe Deng, Kun He, et al.*2019 · 884 citations*](https://md.research.elamur.ai/free/en/papers/ren-2019-generating-natural-language-adversarial-examples/)
227. [**Are NLP Models really able to Solve Simple Math Word Problems?**Arkil Patel, Satwik Bhattamishra, Navin Goyal*2021 · 882 citations*](https://md.research.elamur.ai/free/en/papers/patel-2021-are-nlp-models-really-able/)
228. [**Joint Event Extraction via Recurrent Neural Networks**Thien Huu Nguyen, Kyunghyun Cho, Ralph Grishman*2016 · 881 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2016-joint-event-extraction-recurrent-neural/)
229. [**MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text**Matthew Richardson, Christopher J.C. Burges, Erin Renshaw*2013 · 873 citations*](https://md.research.elamur.ai/free/en/papers/richardson-2013-mctest-challenge-dataset-open-domain/)
230. [**Instance Weighting for Domain Adaptation in NLP**Jing Jiang, ChengXiang Zhai*2007 · 870 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2007-instance-weighting-domain-adaptation-nlp/)
231. [**Learning Subjective Language**Janyce Wiebe, Theresa Wilson, Rebecca Bruce, et al.*2004 · 861 citations*](https://md.research.elamur.ai/free/en/papers/wiebe-2004-learning-subjective-language/)
232. [**Transition-Based Dependency Parsing with Stack Long Short-Term Memory**Chris Dyer, Miguel Ballesteros, Wang Ling, et al.*2015 · 857 citations*](https://md.research.elamur.ai/free/en/papers/dyer-2015-transition-based-dependency-parsing-stack/)
233. [**Nymble: a High-Performance Learning Name-finder**Daniel M. Bikel, Scott Miller, Richard Schwartz, et al.*1997 · 857 citations*](https://md.research.elamur.ai/free/en/papers/bikel-1997-nymble-high-performance-learning-name/)
234. [**On Coreference Resolution Performance Metrics**Xiaoqiang Luo*2005 · 855 citations*](https://md.research.elamur.ai/free/en/papers/luo-2005-coreference-resolution-performance-metrics/)
235. [**Gender Bias in Coreference Resolution**Rachel Rudinger, Jason Naradowsky, Brian Leonard, et al.*2018 · 852 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2018-gender-bias-coreference-resolution/)
236. [**DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation**Deepanway Ghosal, Navonil Majumder, Soujanya Poria, et al.*2019 · 850 citations*](https://md.research.elamur.ai/free/en/papers/ghosal-2019-dialoguegcn-graph-convolutional-neural-network/)
237. [**Intelligent Selection of Language Model Training Data**Robert C. Moore, William Lewis*2010 · 848 citations*](https://md.research.elamur.ai/free/en/papers/moore-2010-intelligent-selection-language-model-training/)
238. [**Effective Self-Training for Parsing**David McClosky, Eugene Charniak, Mark Johnson*2006 · 846 citations*](https://md.research.elamur.ai/free/en/papers/mcclosky-2006-effective-self-training-parsing/)
239. [**TaPas: Weakly Supervised Table Parsing via Pre-training**Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, et al.*2020 · 844 citations*](https://md.research.elamur.ai/free/en/papers/herzig-2020-tapas-weakly-supervised-table-parsing/)
240. [**UNIFIEDQA: Crossing Format Boundaries with a Single QA System**Daniel Khashabi, Sewon Min, Tushar Khot, et al.*2020 · 843 citations*](https://md.research.elamur.ai/free/en/papers/khashabi-2020-unifiedqa-crossing-format-boundaries-single/)
241. [**Visualizing and Understanding Neural Models in NLP**Jiwei Li, Xinlei Chen, Eduard Hovy, et al.*2016 · 842 citations*](https://md.research.elamur.ai/free/en/papers/li-2016-visualizing-understanding-neural-models-nlp/)
242. [**BERT-ATTACK: Adversarial Attack Against BERT Using BERT**Linyang Li, Ruotian Ma, Qipeng Guo, et al.*2020 · 840 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-bert-attack-adversarial-attack-against/)
243. [**Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features**Matteo Pagliardini, Prakhar Gupta, Martin Jaggi*2018 · 840 citations*](https://md.research.elamur.ai/free/en/papers/pagliardini-2018-unsupervised-learning-sentence-embeddings-compositional/)
244. [**Findings of the 2019 Conference on Machine Translation (WMT19)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 839 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/)
245. [**A Unified MRC Framework for Named Entity Recognition**Xiaoya Li, Jingrong Feng, Yuxian Meng, et al.*2020 · 833 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-unified-mrc-framework-named-entity/)
246. [**MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2020 · 831 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/)
247. [**On the Sentence Embeddings from Pre-trained Language Models**Bohan Li, Hao Zhou, Junxian He, et al.*2020 · 830 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-sentence-embeddings-pre-trained-language/)
248. [**Kernel Methods for Relation Extraction**Dmitry Zelenko, Chinatsu Aone, Anthony Richardella*2002 · 829 citations*](https://md.research.elamur.ai/free/en/papers/zelenko-2002-kernel-methods-relation-extraction/)
249. [**Gated Self-Matching Networks for Reading Comprehension and Question Answering**Wenhui Wang, Nan Yang, Furu Wei, et al.*2017 · 823 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-gated-self-matching-networks-reading/)
250. [**Automatic Evaluation of Topic Coherence**David Newman, Jey Han Lau, Karl Grieser, et al.*2010 · 823 citations*](https://md.research.elamur.ai/free/en/papers/newman-2010-automatic-evaluation-topic-coherence/)
251. [**MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance**Wei Zhao, Maxime Peyrard, Fei Liu, et al.*2019 · 822 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2019-moverscore-text-generation-evaluating-contextualized/)
252. [**Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism**Orhan Firat, Kyunghyun Cho, Yoshua Bengio*2016 · 821 citations*](https://md.research.elamur.ai/free/en/papers/firat-2016-multi-way-multilingual-neural-machine/)
253. [**Quantifying Mental Health Signals in Twitter**Glen Coppersmith, Mark Dredze, Craig Harman*2014 · 821 citations*](https://md.research.elamur.ai/free/en/papers/coppersmith-2014-quantifying-mental-health-signals-twitter/)
254. [**Paraphrasing with Bilingual Parallel Corpora**Colin Bannard, Chris Callison-Burch*2005 · 821 citations*](https://md.research.elamur.ai/free/en/papers/bannard-2005-paraphrasing-bilingual-parallel-corpora/)
255. [**ERASER: A Benchmark to Evaluate Rationalized NLP Models**Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al.*2020 · 820 citations*](https://md.research.elamur.ai/free/en/papers/deyoung-2020-eraser-benchmark-evaluate-rationalized-nlp/)
256. [**SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation**Eneko Agirre, Carmen Banea, Daniel Cer, et al.*2016 · 820 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2016-semeval-2016-task-1-semantic/)
257. [**Improving Vector Space Word Representations Using Multilingual Correlation**Manaal Faruqui, Chris Dyer*2014 · 819 citations*](https://md.research.elamur.ai/free/en/papers/faruqui-2014-improving-vector-space-word-representations/)
258. [**GPT-NeoX-20B: An Open-Source Autoregressive Language Model**Sidney Black, Stella Biderman, Eric Hallahan, et al.*2022 · 818 citations*](https://md.research.elamur.ai/free/en/papers/black-2022-gpt-neox-20b-open-source/)
259. [**Entity, Relation, and Event Extraction with Contextualized Span Representations**David Wadden, Ulme Wennberg, Yi Luan, et al.*2019 · 818 citations*](https://md.research.elamur.ai/free/en/papers/wadden-2019-entity-relation-event-extraction-contextualized/)
260. [**Addressing the Rare Word Problem in Neural Machine Translation**Thang Luong, Ilya Sutskever, Quoc Le, et al.*2015 · 817 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-addressing-rare-word-problem-neural/)
261. [**Scaling Neural Machine Translation**Myle Ott, Sergey Edunov, David Grangier, et al.*2018 · 813 citations*](https://md.research.elamur.ai/free/en/papers/ott-2018-scaling-neural-machine-translation/)
262. [**A New Dataset and Method for Automatically Grading ESOL Texts**Helen Yannakoudakis, Ted Briscoe, Ben Medlock*2011 · 813 citations*](https://md.research.elamur.ai/free/en/papers/yannakoudakis-2011-new-dataset-method-automatically-grading/)
263. [**Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe**Milan Straka, Jana Straková*2017 · 811 citations*](https://md.research.elamur.ai/free/en/papers/straka-2017-tokenizing-pos-tagging-lemmatizing-parsing/)
264. [**A Stylometric Inquiry into Hyperpartisan and Fake News**Martin Potthast, Johannes Kiesel, Kevin Reinartz, et al.*2018 · 808 citations*](https://md.research.elamur.ai/free/en/papers/potthast-2018-stylometric-inquiry-into-hyperpartisan-fake/)
265. [**Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks**Chen Zhang, Qiuchi Li, Dawei Song*2019 · 807 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-aspect-based-sentiment-classification-aspect/)
266. [**Finding Deceptive Opinion Spam by Any Stretch of the Imagination**Myle Ott, Yejin Choi, Claire Cardie, et al.*2011 · 806 citations*](https://md.research.elamur.ai/free/en/papers/ott-2011-finding-deceptive-opinion-spam-any/)
267. [**Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations**Sosuke Kobayashi*2018 · 804 citations*](https://md.research.elamur.ai/free/en/papers/kobayashi-2018-contextual-augmentation-data-augmentation-words/)
268. [**Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words**Saif Mohammad*2018 · 800 citations*](https://md.research.elamur.ai/free/en/papers/mohammad-2018-obtaining-reliable-human-ratings-valence/)
269. [**Learning Deep Transformer Models for Machine Translation**Qiang Wang, Bei Li, Tong Xiao, et al.*2019 · 798 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-learning-deep-transformer-models-machine/)
270. [**Named Entity Recognition using an HMM-based Chunk Tagger**GuoDong Zhou, Jian Su*2002 · 794 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2002-named-entity-recognition-hmm-based/)
271. [**Multi-Task Learning for Multiple Language Translation**Daxiang Dong, Hua Wu, Wei He, et al.*2015 · 791 citations*](https://md.research.elamur.ai/free/en/papers/dong-2015-multi-task-learning-multiple-language/)
272. [**Linguistic Regularities in Sparse and Explicit Word Representations**Omer Levy, Yoav Goldberg*2014 · 790 citations*](https://md.research.elamur.ai/free/en/papers/levy-2014-linguistic-regularities-sparse-explicit-word/)
273. [**NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews**Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, et al.*2014 · 788 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2014-nrc-canada-2014-detecting-aspects/)
274. [**Scaling to Very Very Large Corpora for Natural Language Disambiguation**Michele Banko, Eric Brill*2001 · 785 citations*](https://md.research.elamur.ai/free/en/papers/banko-2001-scaling-very-very-large-corpora/)
275. [**SemEval-2014 Task 10: Multilingual Semantic Textual Similarity**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2014 · 783 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2014-semeval-2014-task-10-multilingual/)
276. [**Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 778 citations*](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/)
277. [**Supervised Learning of Universal Sentence Representations from Natural Language Inference Data**Alexis Conneau, Douwe Kiela, Holger Schwenk, et al.*2017 · 777 citations*](https://md.research.elamur.ai/free/en/papers/conneau-2017-supervised-learning-universal-sentence-representations/)
278. [**Can Large Language Models Transform Computational Social Science?**Caleb Ziems, William Held, Omar Shaikh, et al.*2023 · 776 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/)
279. [**Towards Reasoning in Large Language Models: A Survey**Jie Huang, Kevin Chen-Chuan Chang*2023 · 775 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-reasoning-large-language-models-survey/)
280. [**Relational Graph Attention Network for Aspect-based Sentiment Analysis**Kai Wang, Weizhou Shen, Yunyi Yang, et al.*2020 · 775 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/)
281. [**Domain Adaptation via Pseudo In-Domain Data Selection**Amittai Axelrod, Xiaodong He, Jianfeng Gao*2011 · 773 citations*](https://md.research.elamur.ai/free/en/papers/axelrod-2011-domain-adaptation-pseudo-domain-data/)
282. [**A Syntactic Neural Model for General-Purpose Code Generation**Pengcheng Yin, Graham Neubig*2017 · 772 citations*](https://md.research.elamur.ai/free/en/papers/yin-2017-syntactic-neural-model-general-purpose/)
283. [**Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths**Yan Xu, Lili Mou, Ge Li, et al.*2015 · 769 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-classifying-relations-long-short-term/)
284. [**UniXcoder: Unified Cross-Modal Pre-training for Code Representation**Daya Guo, Shuai Lu, Nan Duan, et al.*2022 · 768 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/)
285. [**Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments**Kevin Gimpel, Nathan Schneider, Brendan O'Connor, et al.*2011 · 767 citations*](https://md.research.elamur.ai/free/en/papers/gimpel-2011-part-speech-tagging-twitter-annotation/)
286. [**Rumor has it: Identifying Misinformation in Microblogs**Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, et al.*2011 · 764 citations*](https://md.research.elamur.ai/free/en/papers/qazvinian-2011-rumor-has-it-identifying-misinformation/)
287. [**On Measuring Social Biases in Sentence Encoders**Chandler May, Alex Wang, Shikha Bordia, et al.*2019 · 761 citations*](https://md.research.elamur.ai/free/en/papers/may-2019-measuring-social-biases-sentence-encoders/)
288. [**Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter**Zeerak Waseem*2016 · 760 citations*](https://md.research.elamur.ai/free/en/papers/waseem-2016-are-you-racist-or-am/)
289. [**Colorless Green Recurrent Networks Dream Hierarchically**Kristina Gulordava, Piotr Bojanowski, Edouard Grave, et al.*2018 · 759 citations*](https://md.research.elamur.ai/free/en/papers/gulordava-2018-colorless-green-recurrent-networks-dream/)
290. [**SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability**Eneko Agirre, Carmen Banea, Claire Cardie, et al.*2015 · 758 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2015-semeval-2015-task-2-semantic/)
291. [**Learning Distributed Representations of Sentences from Unlabelled Data**Felix Hill, Kyunghyun Cho, Anna Korhonen*2016 · 756 citations*](https://md.research.elamur.ai/free/en/papers/hill-2016-learning-distributed-representations-sentences-unlabelled/)
292. [**Sarcasm as Contrast between a Positive Sentiment and Negative Situation**Ellen Riloff, Ashequl Qadir, Prafulla Surve, et al.*2013 · 752 citations*](https://md.research.elamur.ai/free/en/papers/riloff-2013-sarcasm-as-contrast-between-positive/)
293. [**The Woman Worked as a Babysitter: On Biases in Language Generation**Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.*2019 · 751 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2019-woman-worked-as-babysitter-biases/)
294. [**chrF++: words helping character n-grams**Maja Popović*2017 · 749 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/)
295. [**An Improved Non-monotonic Transition System for Dependency Parsing**Matthew Honnibal, Mark Johnson*2015 · 749 citations*](https://md.research.elamur.ai/free/en/papers/honnibal-2015-improved-non-monotonic-transition-system/)
296. [**Universal Dependency Annotation for Multilingual Parsing**Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, et al.*2013 · 749 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2013-universal-dependency-annotation-multilingual-parsing/)
297. [**A Practical Part-of-Speech Tagger**Doug Cutting, Julian Kupiec, Jan Pedersen, et al.*1992 · 749 citations*](https://md.research.elamur.ai/free/en/papers/cutting-1992-practical-part-speech-tagger/)
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