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# Works of United States

2809 · page 4 of 29 · the most cited first · [← United States](https://md.research.elamur.ai/free/en/countries/united-states/)

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301. [**A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents**Arman Cohan, Franck Dernoncourt, Doo Soon Kim, et al.*2018 · 1,018 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2018-discourse-aware-attention-model-abstractive/)
302. [**A Syntax-based Statistical Translation Model**Kenji Yamada, Kevin Knight*2001 · 1,018 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2001-syntax-based-statistical-translation-model/)
303. [**Better Word Representations with Recursive Neural Networks for Morphology**Thang Luong, Richard Socher, Christopher Manning*2013 · 1,017 citations*](https://md.research.elamur.ai/free/en/papers/luong-2013-better-word-representations-recursive-neural/)
304. [**GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints**Joshua Ainslie, James Lee-Thorp, Michiel de Jong, et al.*2023 · 1,012 citations*](https://md.research.elamur.ai/free/en/papers/ainslie-2023-gqa-training-generalized-multi-query/)
305. [**Linguistic Knowledge and Transferability of Contextual Representations**Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.*2019 · 1,011 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-linguistic-knowledge-transferability-contextual-representations/)
306. [**VL-BERT: Pre-training of Generic Visual-Linguistic Representations**Weijie Su, Xizhou Zhu, Yue Cao, et al.*2019 · 1,008 citations*](https://md.research.elamur.ai/free/en/papers/su-2019-vl-bert-pre-training-generic/)
307. [**Automated Hate Speech Detection and the Problem of Offensive Language**Thomas Davidson, Dana Warmsley, Michael Macy, et al.*2017 · 1,007 citations*](https://md.research.elamur.ai/free/en/papers/davidson-2017-automated-hate-speech-detection-problem/)
308. [**Predicting Pragmatic Reasoning in Language Games**Michael C. Frank, Noah D. Goodman*2012 · 1,007 citations*](https://md.research.elamur.ai/free/en/papers/frank-2012-predicting-pragmatic-reasoning-language-games/)
309. [**Classifier-Free Diffusion Guidance**Jonathan Ho, Tim Salimans*2022 · 1,007 citations*](https://md.research.elamur.ai/free/en/papers/ho-2022-classifier-free-diffusion-guidance/)
310. [**MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices**Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.*2020 · 1,003 citations*](https://md.research.elamur.ai/free/en/papers/sun-2020-mobilebert-compact-task-agnostic-bert/)
311. [**Dependency Tree Kernels for Relation Extraction**Aron Culotta, Jeffrey Sorensen*2004 · 998 citations*](https://md.research.elamur.ai/free/en/papers/culotta-2004-dependency-tree-kernels-relation-extraction/)
312. [**Big Bird: Transformers for Longer Sequences**Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.*2020 · 992 citations*](https://md.research.elamur.ai/free/en/papers/zaheer-2020-big-bird-transformers-longer-sequences/)
313. [**Unsupervised Models for Named Entity Classification**Michael Collins, Yoram Singer*1999 · 991 citations*](https://md.research.elamur.ai/free/en/papers/collins-1999-unsupervised-models-named-entity-classification/)
314. [**Discriminative Reranking for Natural Language Parsing**Michael Collins, Terry Koo*2000 · 988 citations*](https://md.research.elamur.ai/free/en/papers/collins-2000-discriminative-reranking-natural-language-parsing/)
315. [**Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders**Tiancheng Zhao, Ran Zhao, Maxine Eskenazi*2017 · 986 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2017-learning-discourse-level-diversity-neural/)
316. [**Using Encyclopedic Knowledge for Named entity Disambiguation**Razvan Bunescu, Marius Paşca*2006 · 978 citations*](https://md.research.elamur.ai/free/en/papers/bunescu-2006-encyclopedic-knowledge-named-entity-disambiguation/)
317. [**FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation**Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.*2023 · 970 citations*](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/)
318. [**Learning surface text patterns for a Question Answering System**Deepak Ravichandran, Eduard Hovy*2002 · 970 citations*](https://md.research.elamur.ai/free/en/papers/ravichandran-2002-learning-surface-text-patterns-question/)
319. [**PPDB: The Paraphrase Database**Juri Ganitkevitch, Benjamin Van Durme, Chris Callison-Burch*2013 · 964 citations*](https://md.research.elamur.ai/free/en/papers/ganitkevitch-2013-ppdb-paraphrase-database/)
320. [**GPQA: A Graduate-Level Google-Proof Q&A Benchmark**David Rein, Betty Li Hou, Asa Cooper Stickland, et al.*2023 · 964 citations*](https://md.research.elamur.ai/free/en/papers/rein-2023-gpqa-graduate-level-google-proof/)
321. [**TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification**Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, et al.*2020 · 952 citations*](https://md.research.elamur.ai/free/en/papers/barbieri-2020-tweeteval-unified-benchmark-comparative-evaluation/)
322. [**Robust Sentiment Detection on Twitter from Biased and Noisy Data**Luciano Barbosa, Junlan Feng*2010 · 952 citations*](https://md.research.elamur.ai/free/en/papers/barbosa-2010-robust-sentiment-detection-twitter-biased/)
323. [**Optimizing Statistical Machine Translation for Text Simplification**Wei Xu, Courtney Napoles, Ellie Pavlick, et al.*2016 · 952 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)
324. [**Retrieving Collocations from Text: Xtract**Frank Smadja*1993 · 951 citations*](https://md.research.elamur.ai/free/en/papers/smadja-1993-retrieving-collocations-text-xtract/)
325. [**Universal and Transferable Adversarial Attacks on Aligned Language Models**Andy Zou, Zifan Wang, Nicholas Carlini, et al.*2023 · 951 citations*](https://md.research.elamur.ai/free/en/papers/zou-2023-universal-transferable-adversarial-attacks-aligned/)
326. [**AdapterFusion: Non-Destructive Task Composition for Transfer Learning**Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al.*2020 · 948 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterfusion-non-destructive-task-composition/)
327. [**MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI**Xiang Yue, Yuansheng Ni, Kai Zhang, et al.*2023 · 948 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/)
328. [**MPNet: Masked and Permuted Pre-training for Language Understanding**Kaitao Song, Xu Tan, Tao Qin, et al.*2020 · 944 citations*](https://md.research.elamur.ai/free/en/papers/song-2020-mpnet-masked-permuted-pre-training/)
329. [**Out of One, Many: Using Language Models to Simulate Human Samples**Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, et al.*2022 · 942 citations*](https://md.research.elamur.ai/free/en/papers/argyle-2022-out-one-many-using-language/)
330. [**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/)
331. [**One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling**Ciprian Chelba, Tomas Mikolov, Mike Schuster, et al.*2013 · 940 citations*](https://md.research.elamur.ai/free/en/papers/chelba-2013-one-billion-word-benchmark-measuring/)
332. [**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/)
333. [**Visualizing and Understanding Recurrent Networks**Andrej Karpathy, Justin Johnson, Li Fei-Fei*2015 · 939 citations*](https://md.research.elamur.ai/free/en/papers/karpathy-2015-visualizing-understanding-recurrent-networks/)
334. [**Patient Knowledge Distillation for BERT Model Compression**Siqi Sun, Yu Cheng, Zhe Gan, et al.*2019 · 939 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-patient-knowledge-distillation-bert-model/)
335. [**Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods**Gordon V. Cormack, Charles L. A. Clarke, Stefan Büttcher*2009 · 937 citations*](https://md.research.elamur.ai/free/en/papers/cormack-2009-reciprocal-rank-fusion-outperforms/)
336. [**Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics**Chin-Yew Lin, Franz Josef Och*2004 · 937 citations*](https://md.research.elamur.ai/free/en/papers/lin-2004-automatic-evaluation-machine-translation-quality/)
337. [**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/)
338. [**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/)
339. [**Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models**Yiheng Liu, Tianle Han, Siyuan Ma, et al.*2023 · 936 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-summary-chatgpt-related-research-perspective/)
340. [**A Survey of Data Augmentation Approaches for NLP**Steven Y. Feng, Varun Gangal, Jason Wei, et al.*2021 · 935 citations*](https://md.research.elamur.ai/free/en/papers/feng-2021-survey-data-augmentation-approaches-nlp/)
341. [**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/)
342. [**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/)
343. [**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/)
344. [**Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization**Dave Van Veen, Cara Van Uden, Louis Blankemeier, et al.*2023 · 925 citations*](https://md.research.elamur.ai/free/en/papers/veen-2023-adapted-large-language-models-outperform/)
345. [**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/)
346. [**Bilateral Multi-Perspective Matching for Natural Language Sentences**Zhiguo Wang, Wael Hamza, Radu Florian*2017 · 923 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-bilateral-multi-perspective-matching-natural/)
347. [**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/)
348. [**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/)
349. [**Visual7W: Grounded Question Answering in Images**Yuke Zhu, Oliver Groth, Michael Bernstein, et al.*2015 · 915 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2015-visual7w-grounded-question-answering-images/)
350. [**Topic Modeling in Embedding Spaces**Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei*2020 · 914 citations*](https://md.research.elamur.ai/free/en/papers/dieng-2020-topic-modeling-embedding-spaces/)
351. [**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/)
352. [**Learning to Ask: Neural Question Generation for Reading Comprehension**Xinya Du, Junru Shao, Claire Cardie*2017 · 913 citations*](https://md.research.elamur.ai/free/en/papers/du-2017-learning-ask-neural-question-generation/)
353. [**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/)
354. [**Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory**Lynn Carlson, Daniel Marcu, Mary Ellen Okurovsky*2001 · 912 citations*](https://md.research.elamur.ai/free/en/papers/carlson-2001-building-discourse-tagged-corpus-framework/)
355. [**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/)
356. [**Grounded Compositional Semantics for Finding and Describing Images with Sentences**Richard Socher, Andrej Karpathy, Quoc V. Le, et al.*2014 · 909 citations*](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/)
357. [**Three New Probabilistic Models for Dependency Parsing: An Exploration**Jason M. Eisner*1996 · 908 citations*](https://md.research.elamur.ai/free/en/papers/eisner-1996-three-new-probabilistic-models-dependency/)
358. [**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/)
359. [**Extracting Training Data from Large Language Models**Nicholas Carlini, Florian Tramer, Eric Wallace, et al.*2020 · 901 citations*](https://md.research.elamur.ai/free/en/papers/carlini-2020-extracting-training-data-large-language/)
360. [**A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT**Jules White, Quchen Fu, Sam Hays, et al.*2023 · 899 citations*](https://md.research.elamur.ai/free/en/papers/white-2023-prompt-pattern-catalog-enhance-prompt/)
361. [**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/)
362. [**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/)
363. [**Is Attention Interpretable?**Sofia Serrano, Noah A. Smith*2019 · 885 citations*](https://md.research.elamur.ai/free/en/papers/serrano-2019-is-attention-interpretable/)
364. [**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/)
365. [**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/)
366. [**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/)
367. [**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/)
368. [**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/)
369. [**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/)
370. [**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/)
371. [**TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP**John X. Morris, Eli Lifland, Jin Yong Yoo, et al.*2020 · 857 citations*](https://md.research.elamur.ai/free/en/papers/morris-2020-textattack-framework-adversarial-attacks-data/)
372. [**On Coreference Resolution Performance Metrics**Xiaoqiang Luo*2005 · 855 citations*](https://md.research.elamur.ai/free/en/papers/luo-2005-coreference-resolution-performance-metrics/)
373. [**End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF**Xuezhe Ma, Eduard Hovy*2016 · 852 citations*](https://md.research.elamur.ai/free/en/papers/ma-2016-end-end-sequence-labeling-bi/)
374. [**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/)
375. [**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/)
376. [**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/)
377. [**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/)
378. [**Challenges in Data-to-Document Generation**Sam Wiseman, Stuart M. Shieber, Alexander M. Rush*2017 · 846 citations*](https://md.research.elamur.ai/free/en/papers/wiseman-2017-challenges-data-document-generation/)
379. [**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/)
380. [**What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models**Allyson Ettinger*2020 · 843 citations*](https://md.research.elamur.ai/free/en/papers/ettinger-2020-what-bert-is-not-lessons/)
381. [**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/)
382. [**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/)
383. [**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/)
384. [**Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers**Ji Gao, Jack Lanchantin, Mary Lou Soffa, et al.*2018 · 836 citations*](https://md.research.elamur.ai/free/en/papers/gao-2018-black-box-generation-adversarial-text/)
385. [**MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic**Arfath Pasha, Mohamed Al-Badrashiny, Mona Diab, et al.*2014 · 835 citations*](https://md.research.elamur.ai/free/en/papers/pasha-2014-madamira-fast-comprehensive-tool-morphological/)
386. [**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/)
387. [**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/)
388. [**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/)
389. [**Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis**Theresa Wilson, Janyce Wiebe, Paul Hoffmann*2009 · 824 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2009-recognizing-contextual-polarity-exploration-features/)
390. [**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/)
391. [**Extended Gloss Overlaps as a Measure of Semantic Relatedness**Satanjeev Banerjee, Ted Pedersen*2003 · 822 citations*](https://md.research.elamur.ai/free/en/papers/banerjee-2003-extended-gloss-overlaps-as-measure/)
392. [**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/)
393. [**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/)
394. [**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/)
395. [**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/)
396. [**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/)
397. [**Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting**Yen-Chun Chen, Mohit Bansal*2018 · 819 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-fast-abstractive-summarization-reinforce-selected/)
398. [**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/)
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