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title: "Association for Computational Linguistics — works, page 5"
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# Works of Association for Computational Linguistics

3,691 works · page 5 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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401. [**Higher-Order Coreference Resolution with Coarse-to-Fine Inference**Kenton Lee, Luheng He, Luke Zettlemoyer*2018 · 612 citations*](https://md.research.elamur.ai/free/en/papers/lee-2018-higher-order-coreference-resolution-coarse/)
402. [**CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank**Julia Hockenmaier, Mark Steedman*2007 · 611 citations*](https://md.research.elamur.ai/free/en/papers/hockenmaier-2007-ccgbank-corpus-ccg-derivations-dependency/)
403. [**Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism**Xiangrong Zeng, Daojian Zeng, Shizhu He, et al.*2018 · 607 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/)
404. [**CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Martin Popel, Milan Straka, et al.*2017 · 604 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/)
405. [**Event Extraction by Answering (Almost) Natural Questions**Xinya Du, Claire Cardie*2020 · 602 citations*](https://md.research.elamur.ai/free/en/papers/du-2020-event-extraction-answering-almost-natural/)
406. [**RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering**Yingqi Qu, Yuchen Ding, Jing Liu, et al.*2021 · 601 citations*](https://md.research.elamur.ai/free/en/papers/qu-2021-rocketqa-optimized-training-approach-dense/)
407. [**A Joint Neural Model for Information Extraction with Global Features**Ying Lin, Heng Ji, Fei Huang, et al.*2020 · 600 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/)
408. [**Attention Guided Graph Convolutional Networks for Relation Extraction**Zhijiang Guo, Yan Zhang, Wei Lu*2019 · 597 citations*](https://md.research.elamur.ai/free/en/papers/guo-2019-attention-guided-graph-convolutional-networks/)
409. [**Named Entity Recognition as Dependency Parsing**Juntao Yu, Bernd Bohnet, Massimo Poesio*2020 · 594 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-named-entity-recognition-as-dependency/)
410. [**Transformation Networks for Target-Oriented Sentiment Classification**Xin Li, Lidong Bing, Wai Lam, et al.*2018 · 594 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-transformation-networks-target-oriented-sentiment/)
411. [**Co-Training for Cross-Lingual Sentiment Classification**Xiaojun Wan*2009 · 594 citations*](https://md.research.elamur.ai/free/en/papers/wan-2009-co-training-cross-lingual-sentiment/)
412. [**FNet: Mixing Tokens with Fourier Transforms**James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, et al.*2022 · 593 citations*](https://md.research.elamur.ai/free/en/papers/thorp-2022-fnet-mixing-tokens-fourier-transforms/)
413. [**Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space**Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, et al.*2014 · 593 citations*](https://md.research.elamur.ai/free/en/papers/neelakantan-2014-efficient-non-parametric-estimation-multiple/)
414. [**WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations**Mohammad Taher Pilehvar, Jose Camacho-Collados*2019 · 592 citations*](https://md.research.elamur.ai/free/en/papers/pilehvar-2019-wic-word-context-dataset-evaluating/)
415. [**Relation Extraction: Perspective from Convolutional Neural Networks**Thien Huu Nguyen, Ralph Grishman*2015 · 590 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2015-relation-extraction-perspective-convolutional-neural/)
416. [**Deep Semantic Role Labeling: What Works and What's Next**Luheng He, Kenton Lee, Mike Lewis, et al.*2017 · 589 citations*](https://md.research.elamur.ai/free/en/papers/he-2017-deep-semantic-role-labeling-what/)
417. [**Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings**Pengfei Liu, Shafiq Joty, Helen Meng*2015 · 589 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-fine-grained-opinion-mining-recurrent/)
418. [**Automatic Keyphrase Extraction: A Survey of the State of the Art**Kazi Saidul Hasan, Vincent Ng*2014 · 589 citations*](https://md.research.elamur.ai/free/en/papers/hasan-2014-automatic-keyphrase-extraction-survey-state/)
419. [**Evaluating Gender Bias in Machine Translation**Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer*2019 · 588 citations*](https://md.research.elamur.ai/free/en/papers/stanovsky-2019-evaluating-gender-bias-machine-translation/)
420. [**DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis**Christos Baziotis, Nikos Pelekis, Christos Doulkeridis*2017 · 587 citations*](https://md.research.elamur.ai/free/en/papers/baziotis-2017-datastories-semeval-2017-task-4/)
421. [**Lexical Normalisation of Short Text Messages: Makn Sens a #twitter**Bo Han, Timothy Baldwin*2011 · 586 citations*](https://md.research.elamur.ai/free/en/papers/han-2011-lexical-normalisation-short-text-messages/)
422. [**Dissecting Contextual Word Embeddings: Architecture and Representation**Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.*2018 · 585 citations*](https://md.research.elamur.ai/free/en/papers/peters-2018-dissecting-contextual-word-embeddings-architecture/)
423. [**s1: Simple test-time scaling**Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.*2025 · 584 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2025-s1-simple-test-time-scaling/)
424. [**Measuring Bias in Contextualized Word Representations**Keita Kurita, Nidhi Vyas, Ayush Pareek, et al.*2019 · 584 citations*](https://md.research.elamur.ai/free/en/papers/kurita-2019-measuring-bias-contextualized-word-representations/)
425. [**PAWS: Paraphrase Adversaries from Word Scrambling**Yuan Zhang, Jason Baldridge, Luheng He*2019 · 584 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-paws-paraphrase-adversaries-word-scrambling/)
426. [**Deep multi-task learning with low level tasks supervised at lower layers**Anders Søgaard, Yoav Goldberg*2016 · 584 citations*](https://md.research.elamur.ai/free/en/papers/sogaard-2016-deep-multi-task-learning-low/)
427. [**Minimum Bayes-Risk Decoding for Statistical Machine Translation**Shankar Kumar, William Byrne*2004 · 583 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2004-minimum-bayes-risk-decoding-statistical/)
428. [**Unsupervised Large-Vocabulary Word Sense Disambiguation with Graph-based Algorithms for Sequence Data Labeling**Rada Mihalcea*2005 · 582 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2005-unsupervised-large-vocabulary-word-sense/)
429. [**Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer**Sudha Rao, Joel Tetreault*2018 · 581 citations*](https://md.research.elamur.ai/free/en/papers/rao-2018-dear-sir-or-madam-may/)
430. [**Solving General Arithmetic Word Problems**Subhro Roy, Dan Roth*2015 · 580 citations*](https://md.research.elamur.ai/free/en/papers/roy-2015-solving-general-arithmetic-word-problems/)
431. [**The WebNLG Challenge: Generating Text from RDF Data**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 579 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2017-webnlg-challenge-generating-text-rdf/)
432. [**Racial Bias in Hate Speech and Abusive Language Detection Datasets**Thomas Davidson, Debasmita Bhattacharya, Ingmar Weber*2019 · 577 citations*](https://md.research.elamur.ai/free/en/papers/davidson-2019-racial-bias-hate-speech-abusive/)
433. [**Hate Speech Dataset from a White Supremacy Forum**Ona de Gibert, Naiara Perez, Aitor García-Pablos, et al.*2018 · 577 citations*](https://md.research.elamur.ai/free/en/papers/gibert-2018-hate-speech-dataset-white-supremacy/)
434. [**Refining Event Extraction through Cross-Document Inference**Heng Ji, Ralph Grishman*2008 · 577 citations*](https://md.research.elamur.ai/free/en/papers/ji-2008-refining-event-extraction-through-cross/)
435. [**Improving Machine Translation Performance by Exploiting Non-Parallel Corpora**Dragos Stefan Munteanu, Daniel Marcu*2005 · 576 citations*](https://md.research.elamur.ai/free/en/papers/munteanu-2005-improving-machine-translation-performance-exploiting/)
436. [**Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems**Svetlana Kiritchenko, Saif Mohammad*2018 · 574 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2018-examining-gender-race-bias-two/)
437. [**Relation Classification via Multi-Level Attention CNNs**Linlin Wang, Zhu Cao, Gerard de Melo, et al.*2016 · 573 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-relation-classification-multi-level-attention/)
438. [**PhoBERT: Pre-trained language models for Vietnamese**Dat Quoc Nguyen, Anh Tuan Nguyen*2020 · 571 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2020-phobert-pre-trained-language-models/)
439. [**Multilingual Universal Sentence Encoder for Semantic Retrieval**Yinfei Yang, Daniel Cer, Amin Ahmad, et al.*2020 · 571 citations*](https://md.research.elamur.ai/free/en/papers/yang-2020-multilingual-universal-sentence-encoder-semantic/)
440. [**A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes**Yee Whye Teh*2006 · 571 citations*](https://md.research.elamur.ai/free/en/papers/teh-2006-hierarchical-bayesian-language-model-based/)
441. [**An Unsupervised Aspect-Sentiment Model for Online Reviews**Samuel Brody, Noemie Elhadad*2010 · 569 citations*](https://md.research.elamur.ai/free/en/papers/brody-2010-unsupervised-aspect-sentiment-model-online/)
442. [**Representing Text Chunks**Erik F. Tjong Kim Sang, Jorn Veenstra*1999 · 569 citations*](https://md.research.elamur.ai/free/en/papers/sang-1999-representing-text-chunks/)
443. [**Extractive Summarization as Text Matching**Ming Zhong, Pengfei Liu, Yiran Chen, et al.*2020 · 567 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-extractive-summarization-as-text-matching/)
444. [**Sentence Simplification with Deep Reinforcement Learning**Xingxing Zhang, Mirella Lapata*2017 · 567 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2017-sentence-simplification-deep-reinforcement-learning/)
445. [**A Survey on Recent Advances in Named Entity Recognition from Deep Learning models**Vikas Yadav, Steven Bethard*2018 · 565 citations*](https://md.research.elamur.ai/free/en/papers/yadav-2018-survey-recent-advances-named-entity/)
446. [**AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models**Wanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.*2024 · 563 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2024-agieval-human-centric-benchmark-evaluating/)
447. [**MIND: A Large-scale Dataset for News Recommendation**Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, et al.*2020 · 562 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-mind-large-scale-dataset-news/)
448. [**Leveraging Pre-trained Checkpoints for Sequence Generation Tasks**Sascha Rothe, Shashi Narayan, Aliaksei Severyn*2019 · 562 citations*](https://md.research.elamur.ai/free/en/papers/rothe-2019-leveraging-pre-trained-checkpoints-sequence/)
449. [**Massive Exploration of Neural Machine Translation Architectures**Denny Britz, Anna Goldie, Minh-Thang Luong, et al.*2017 · 562 citations*](https://md.research.elamur.ai/free/en/papers/britz-2017-massive-exploration-neural-machine-translation/)
450. [**Collecting Image Annotations Using Amazon's Mechanical Turk**Cyrus Rashtchian, Peter Young, Micah Hodosh, et al.*2010 · 562 citations*](https://md.research.elamur.ai/free/en/papers/rashtchian-2010-collecting-image-annotations-amazon-s/)
451. [**Large Language Models Can Self-Improve**Jiaxin Huang, Shixiang Gu, Le Hou, et al.*2023 · 560 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/)
452. [**Finding Parts in Very Large Corpora**Matthew Berland, Eugene Charniak*1999 · 560 citations*](https://md.research.elamur.ai/free/en/papers/berland-1999-finding-parts-very-large-corpora/)
453. [**Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text**Soo-Min Kim, Eduard Hovy*2006 · 559 citations*](https://md.research.elamur.ai/free/en/papers/kim-2006-extracting-opinions-opinion-holders-topics/)
454. [**Neural Legal Judgment Prediction in English**Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras*2019 · 558 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-neural-legal-judgment-prediction-english/)
455. [**Unsupervised Modeling of Twitter Conversations**Alan Ritter, Colin Cherry, Bill Dolan*2010 · 557 citations*](https://md.research.elamur.ai/free/en/papers/ritter-2010-unsupervised-modeling-twitter-conversations/)
456. [**Neural Text Summarization: A Critical Evaluation**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.*2019 · 555 citations*](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/)
457. [**Style Transfer Through Back-Translation**Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.*2018 · 554 citations*](https://md.research.elamur.ai/free/en/papers/prabhumoye-2018-style-transfer-through-back-translation/)
458. [**Event Detection and Domain Adaptation with Convolutional Neural Networks**Thien Huu Nguyen, Ralph Grishman*2015 · 554 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2015-event-detection-domain-adaptation-convolutional/)
459. [**The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation**Mia Xu Chen, Orhan Firat, Ankur Bapna, et al.*2018 · 552 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-best-both-worlds-combining-recent/)
460. [**Dependency Treelet Translation: Syntactically Informed Phrasal SMT**Chris Quirk, Arul Menezes, Colin Cherry*2005 · 549 citations*](https://md.research.elamur.ai/free/en/papers/quirk-2005-dependency-treelet-translation-syntactically-informed/)
461. [**Batch Tuning Strategies for Statistical Machine Translation**Colin Cherry, George Foster*2012 · 548 citations*](https://md.research.elamur.ai/free/en/papers/cherry-2012-batch-tuning-strategies-statistical-machine/)
462. [**Sentence Fusion for Multidocument News Summarization**Regina Barzilay, Kathleen R. McKeown*2005 · 548 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2005-sentence-fusion-multidocument-news-summarization/)
463. [**Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement**Jason Lee, Elman Mansimov, Kyunghyun Cho*2018 · 547 citations*](https://md.research.elamur.ai/free/en/papers/lee-2018-deterministic-non-autoregressive-neural-sequence/)
464. [**Learning to Compose Neural Networks for Question Answering**Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.*2016 · 547 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2016-learning-compose-neural-networks-question/)
465. [**Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random Fields**Niklas Jakob, Iryna Gurevych*2010 · 545 citations*](https://md.research.elamur.ai/free/en/papers/jakob-2010-extracting-opinion-targets-single-cross/)
466. [**Fast and Accurate Entity Recognition with Iterated Dilated Convolutions**Emma Strubell, Patrick Verga, David Belanger, et al.*2017 · 544 citations*](https://md.research.elamur.ai/free/en/papers/strubell-2017-fast-accurate-entity-recognition-iterated/)
467. [**Facebook FAIR's WMT19 News Translation Task Submission**Nathan Ng, Kyra Yee, Alexei Baevski, et al.*2019 · 543 citations*](https://md.research.elamur.ai/free/en/papers/ng-2019-facebook-fair-s-wmt19-news/)
468. [**Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems**Michael Denkowski, Alon Lavie*2011 · 541 citations*](https://md.research.elamur.ai/free/en/papers/denkowski-2011-meteor-1-3-automatic-metric/)
469. [**End-to-End Open-Domain Question Answering with BERTserini**Wei Yang, Yuqing Xie, Aileen Lin, et al.*2019 · 539 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-end-end-open-domain-question/)
470. [**Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos**Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al.*2018 · 539 citations*](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/)
471. [**Document Ranking with a Pretrained Sequence-to-Sequence Model**Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.*2020 · 538 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2020-document-ranking-pretrained-sequence-sequence/)
472. [**The Importance of Syntactic Parsing and Inference in Semantic Role Labeling**Vasin Punyakanok, Dan Roth, Wen-tau Yih*2008 · 538 citations*](https://md.research.elamur.ai/free/en/papers/punyakanok-2008-importance-syntactic-parsing-inference-semantic/)
473. [**Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning**Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.*2019 · 536 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-cosmos-qa-machine-reading-comprehension/)
474. [**Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction**Christopher Bryant, Mariano Felice, Ted Briscoe*2017 · 534 citations*](https://md.research.elamur.ai/free/en/papers/bryant-2017-automatic-annotation-evaluation-error-types/)
475. [**Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition**Leon Derczynski, Eric Nichols, Marieke van Erp, et al.*2017 · 534 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/)
476. [**Learning principled bilingual mappings of word embeddings while preserving monolingual invariance**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2016 · 533 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2016-learning-principled-bilingual-mappings-word/)
477. [**Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning**Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer*2021 · 530 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/)
478. [**The BEA-2019 Shared Task on Grammatical Error Correction**Christopher Bryant, Mariano Felice, Øistein E. Andersen, et al.*2019 · 530 citations*](https://md.research.elamur.ai/free/en/papers/bryant-2019-bea-2019-shared-task-grammatical/)
479. [**Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation**Chao Xing, Dong Wang, Chao Liu, et al.*2015 · 528 citations*](https://md.research.elamur.ai/free/en/papers/xing-2015-normalized-word-embedding-orthogonal-transform/)
480. [**Creating Training Corpora for NLG Micro-Planners**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 526 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2017-creating-training-corpora-nlg-micro/)
481. [**Simple, Scalable Adaptation for Neural Machine Translation**Ankur Bapna, Orhan Firat*2019 · 524 citations*](https://md.research.elamur.ai/free/en/papers/bapna-2019-simple-scalable-adaptation-neural-machine/)
482. [**ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection**Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, et al.*2018 · 523 citations*](https://md.research.elamur.ai/free/en/papers/hazarika-2018-icon-interactive-conversational-memory-network/)
483. [**Fact Checking: Task definition and dataset construction**Andreas Vlachos, Sebastian Riedel*2014 · 523 citations*](https://md.research.elamur.ai/free/en/papers/vlachos-2014-fact-checking-task-definition-dataset/)
484. [**Unsupervised Multilingual Sentence Boundary Detection**Tibor Kiss, Jan Strunk*2006 · 523 citations*](https://md.research.elamur.ai/free/en/papers/kiss-2006-unsupervised-multilingual-sentence-boundary-detection/)
485. [**VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation**Changhan Wang, Morgane Riviere, Ann Lee, et al.*2021 · 522 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-voxpopuli-large-scale-multilingual-speech/)
486. [**Using Semantic Roles to Improve Question Answering**Dan Shen, Mirella Lapata*2007 · 522 citations*](https://md.research.elamur.ai/free/en/papers/shen-2007-semantic-roles-improve-question-answering/)
487. [**Generation that Exploits Corpus-Based Statistical Knowledge**Irene Langkilde, Kevin Knight*1998 · 521 citations*](https://md.research.elamur.ai/free/en/papers/langkilde-1998-generation-that-exploits-corpus-based/)
488. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*2020 · 520 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
489. [**Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search**Chris Hokamp, Qun Liu*2017 · 520 citations*](https://md.research.elamur.ai/free/en/papers/hokamp-2017-lexically-constrained-decoding-sequence-generation/)
490. [**SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment**Marco Marelli, Luisa Bentivogli, Marco Baroni, et al.*2014 · 520 citations*](https://md.research.elamur.ai/free/en/papers/marelli-2014-semeval-2014-task-1-evaluation/)
491. [**Stance Detection with Bidirectional Conditional Encoding**Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, et al.*2016 · 519 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2016-stance-detection-bidirectional-conditional-encoding/)
492. [**How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence**Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.*2020 · 518 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/)
493. [**Breaking NLI Systems with Sentences that Require Simple Lexical Inferences**Max Glockner, Vered Shwartz, Yoav Goldberg*2018 · 517 citations*](https://md.research.elamur.ai/free/en/papers/glockner-2018-breaking-nli-systems-sentences-that/)
494. [**Identifying Argumentative Discourse Structures in Persuasive Essays**Christian Stab, Iryna Gurevych*2014 · 517 citations*](https://md.research.elamur.ai/free/en/papers/stab-2014-identifying-argumentative-discourse-structures-persuasive/)
495. [**The Social Impact of Natural Language Processing**Dirk Hovy, Shannon L. Spruit*2016 · 516 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2016-social-impact-natural-language-processing/)
496. [**Automatic classification of citation function**Simone Teufel, Advaith Siddharthan, Dan Tidhar*2006 · 516 citations*](https://md.research.elamur.ai/free/en/papers/teufel-2006-automatic-classification-citation-function/)
497. [**Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis**Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, et al.*2016 · 514 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-recursive-neural-conditional-random-fields/)
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