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# Works of Association for Computational Linguistics

3,691 works · page 6 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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501. [**An Unsupervised Approach to Recognizing Discourse Relations**Daniel Marcu, Abdessamad Echihabi*2002 · 513 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2002-unsupervised-approach-recognizing-discourse-relations/)
502. [**Learning Gender-Neutral Word Embeddings**Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.*2018 · 512 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-learning-gender-neutral-word-embeddings/)
503. [**FinQA: A Dataset of Numerical Reasoning over Financial Data**Zhiyu Chen, Wenhu Chen, Charese Smiley, et al.*2021 · 510 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-finqa-dataset-numerical-reasoning-over/)
504. [**Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation**Xiao Liu, Zhunchen Luo, Heyan Huang*2018 · 509 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-jointly-multiple-events-extraction-attention/)
505. [**A Discriminative Graph-Based Parser for the Abstract Meaning Representation**Jeffrey Flanigan, Sam Thomson, Jaime Carbonell, et al.*2014 · 508 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2014-discriminative-graph-based-parser-abstract/)
506. [**A Structured Vector Space Model for Word Meaning in Context**Katrin Erk, Sebastian Padó*2008 · 508 citations*](https://md.research.elamur.ai/free/en/papers/erk-2008-structured-vector-space-model-word/)
507. [**Benchmarking Aggression Identification in Social Media**Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, et al.*2018 · 507 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2018-benchmarking-aggression-identification-social-media/)
508. [**Empirical Methods for Compound Splitting**Philipp Koehn, Kevin Knight*2003 · 507 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2003-empirical-methods-compound-splitting/)
509. [**Farasa: A Fast and Furious Segmenter for Arabic**Ahmed Abdelali, Kareem Darwish, Nadir Durrani, et al.*2016 · 506 citations*](https://md.research.elamur.ai/free/en/papers/abdelali-2016-farasa-fast-furious-segmenter-arabic/)
510. [**The LAMBADA dataset: Word prediction requiring a broad discourse context**Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, et al.*2016 · 506 citations*](https://md.research.elamur.ai/free/en/papers/paperno-2016-lambada-dataset-word-prediction-requiring/)
511. [**Stanford's Multi-Pass Sieve Coreference Resolution System at the CoNLL-2011 Shared Task**Heeyoung Lee, Yves Peirsman, Angel Chang, et al.*2011 · 506 citations*](https://md.research.elamur.ai/free/en/papers/lee-2011-stanford-s-multi-pass-sieve/)
512. [**Improving Statistical Machine Translation Using Word Sense Disambiguation**Marine Carpuat, Dekai Wu*2007 · 505 citations*](https://md.research.elamur.ai/free/en/papers/carpuat-2007-improving-statistical-machine-translation-word/)
513. [**Two/Too Simple Adaptations of Word2Vec for Syntax Problems**Wang Ling, Chris Dyer, Alan W. Black, et al.*2015 · 504 citations*](https://md.research.elamur.ai/free/en/papers/ling-2015-two-too-simple-adaptations-word2vec/)
514. [**Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis**Wenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.*2024 · 503 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/)
515. [**FLAT: Chinese NER Using Flat-Lattice Transformer**Xiaonan Li, Hang Yan, Xipeng Qiu, et al.*2020 · 503 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-flat-chinese-ner-flat-lattice/)
516. [**Gender Bias in Contextualized Word Embeddings**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2019 · 503 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/)
517. [**ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations**John Wieting, Kevin Gimpel*2018 · 503 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2018-paranmt-50m-pushing-limits-paraphrastic/)
518. [**What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA**Mengqiu Wang, Noah A. Smith, Teruko Mitamura*2007 · 503 citations*](https://md.research.elamur.ai/free/en/papers/wang-2007-what-is-jeopardy-model-quasi/)
519. [**The Second Release of the RASP System**Ted Briscoe, John Carroll, Rebecca Watson*2006 · 503 citations*](https://md.research.elamur.ai/free/en/papers/briscoe-2006-second-release-rasp-system/)
520. [**Named Entity Recognition without Gazetteers**Andrei Mikheev, Marc Moens, Claire Grover*1999 · 502 citations*](https://md.research.elamur.ai/free/en/papers/mikheev-1999-named-entity-recognition-without-gazetteers/)
521. [**Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach**Hwee Tou Ng, Hian Beng Lee*1996 · 502 citations*](https://md.research.elamur.ai/free/en/papers/ng-1996-integrating-multiple-knowledge-sources-disambiguate/)
522. [**MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms**Aida Amini, Saadia Gabriel, Shanchuan Lin, et al.*2019 · 500 citations*](https://md.research.elamur.ai/free/en/papers/amini-2019-mathqa-interpretable-math-word-problem/)
523. [**Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree**Kai Sun, Richong Zhang, Samuel Mensah, et al.*2019 · 497 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-aspect-level-sentiment-analysis-convolution/)
524. [**Shallow Semantic Parsing using Support Vector Machines**Sameer S. Pradhan, Wayne H. Ward, Kadri Hacioglu, et al.*2004 · 497 citations*](https://md.research.elamur.ai/free/en/papers/pradhan-2004-shallow-semantic-parsing-support-vector/)
525. [**Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction**Hu Xu, Bing Liu, Lei Shu, et al.*2018 · 494 citations*](https://md.research.elamur.ai/free/en/papers/xu-2018-double-embeddings-cnn-based-sequence/)
526. [**Does String-Based Neural MT Learn Source Syntax?**Xing Shi, Inkit Padhi, Kevin Knight*2016 · 492 citations*](https://md.research.elamur.ai/free/en/papers/shi-2016-does-string-based-neural-mt/)
527. [**Learning Natural Language Inference with LSTM**Shuohang Wang, Jing Jiang*2016 · 491 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-learning-natural-language-inference-lstm/)
528. [**Using Predicate-Argument Structures for Information Extraction**Mihai Surdeanu, Sanda Harabagiu, John Williams, et al.*2003 · 491 citations*](https://md.research.elamur.ai/free/en/papers/surdeanu-2003-predicate-argument-structures-information-extraction/)
529. [**SemEval-2015 Task 10: Sentiment Analysis in Twitter**Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, et al.*2015 · 490 citations*](https://md.research.elamur.ai/free/en/papers/rosenthal-2015-semeval-2015-task-10-sentiment/)
530. [**Multi-Source Transfer of Delexicalized Dependency Parsers**Ryan McDonald, Slav Petrov, Keith Hall*2011 · 490 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2011-multi-source-transfer-delexicalized-dependency/)
531. [**Semi-Supervised Sequence Modeling with Cross-View Training**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 489 citations*](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/)
532. [**Multi-Prototype Vector-Space Models of Word Meaning**Joseph Reisinger, Raymond J. Mooney*2010 · 489 citations*](https://md.research.elamur.ai/free/en/papers/reisinger-2010-multi-prototype-vector-space-models/)
533. [**BERT for Coreference Resolution: Baselines and Analysis**Mandar Joshi, Omer Levy, Luke Zettlemoyer, et al.*2019 · 488 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2019-bert-coreference-resolution-baselines-analysis/)
534. [**BBQ: A hand-built bias benchmark for question answering**Alicia Parrish, Angelica Chen, Nikita Nangia, et al.*2022 · 487 citations*](https://md.research.elamur.ai/free/en/papers/parrish-2022-bbq-hand-built-bias-benchmark/)
535. [**A Convolutional Encoder Model for Neural Machine Translation**Jonas Gehring, Michael Auli, David Grangier, et al.*2017 · 487 citations*](https://md.research.elamur.ai/free/en/papers/gehring-2017-convolutional-encoder-model-neural-machine/)
536. [**EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks**Muhammad Abdul-Mageed, Lyle Ungar*2017 · 486 citations*](https://md.research.elamur.ai/free/en/papers/mageed-2017-emonet-fine-grained-emotion-detection/)
537. [**What do Neural Machine Translation Models Learn about Morphology?**Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.*2017 · 485 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2017-what-do-neural-machine-translation/)
538. [**ParlAI: A Dialog Research Software Platform**Alexander Miller, Will Feng, Dhruv Batra, et al.*2017 · 483 citations*](https://md.research.elamur.ai/free/en/papers/miller-2017-parlai-dialog-research-software-platform/)
539. [**Word Sense Disambiguation: A Unified Evaluation Framework and Empirical Comparison**Alessandro Raganato, Jose Camacho-Collados, Roberto Navigli*2017 · 483 citations*](https://md.research.elamur.ai/free/en/papers/raganato-2017-word-sense-disambiguation-unified-evaluation/)
540. [**Semantic Parsing for Single-Relation Question Answering**Wen-tau Yih, Xiaodong He, Christopher Meek*2014 · 483 citations*](https://md.research.elamur.ai/free/en/papers/yih-2014-semantic-parsing-single-relation-question/)
541. [**Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations**Peiyi Wang, Lei Li, Zhihong Shao, et al.*2024 · 482 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-math-shepherd-verify-reinforce-llms/)
542. [**Learning Multilingual Subjective Language via Cross-Lingual Projections**Rada Mihalcea, Carmen Banea, Janyce Wiebe*2007 · 482 citations*](https://md.research.elamur.ai/free/en/papers/mihalcea-2007-learning-multilingual-subjective-language-cross/)
543. [**HateBERT: Retraining BERT for Abusive Language Detection in English**Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al.*2021 · 481 citations*](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/)
544. [**Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings**Nanyun Peng, Mark Dredze*2015 · 481 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/)
545. [**Experiments in Domain Adaptation for Statistical Machine Translation**Philipp Koehn, Josh Schroeder*2007 · 481 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2007-experiments-domain-adaptation-statistical-machine/)
546. [**Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection**Shauli Ravfogel, Yanai Elazar, Hila Gonen, et al.*2020 · 480 citations*](https://md.research.elamur.ai/free/en/papers/ravfogel-2020-null-it-out-guarding-protected/)
547. [**DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference**Ji Xin, Raphael Tang, Jaejun Lee, et al.*2020 · 480 citations*](https://md.research.elamur.ai/free/en/papers/xin-2020-deebert-dynamic-early-exiting-accelerating/)
548. [**Legal Judgment Prediction via Topological Learning**Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.*2018 · 480 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2018-legal-judgment-prediction-topological-learning/)
549. [**ToTTo: A Controlled Table-To-Text Generation Dataset**Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al.*2020 · 479 citations*](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/)
550. [**Enabling Large Language Models to Generate Text with Citations**Tianyu Gao, Howard Yen, Jiatong Yu, et al.*2023 · 477 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/)
551. [**ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction**Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.*2022 · 477 citations*](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/)
552. [**Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion**Armand Joulin, Piotr Bojanowski, Tomas Mikolov, et al.*2018 · 477 citations*](https://md.research.elamur.ai/free/en/papers/joulin-2018-loss-translation-learning-bilingual-word/)
553. [**Information Fusion in the Context of Multi-Document Summarization**Regina Barzilay, Kathleen R. McKeown, Michael Elhadad*1999 · 477 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-1999-information-fusion-context-multi-document/)
554. [**Syntax Augmented Machine Translation via Chart Parsing**Andreas Zollmann, Ashish Venugopal*2006 · 474 citations*](https://md.research.elamur.ai/free/en/papers/zollmann-2006-syntax-augmented-machine-translation-chart/)
555. [**A Maximum Entropy Approach to Identifying Sentence Boundaries**Jeffrey C. Reynar, Adwait Ratnaparkhi*1997 · 474 citations*](https://md.research.elamur.ai/free/en/papers/reynar-1997-maximum-entropy-approach-identifying-sentence/)
556. [**Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation**Biao Zhang, Philip Williams, Ivan Titov, et al.*2020 · 472 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2020-improving-massively-multilingual-neural-machine/)
557. [**Learning Whom to Trust with MACE**Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, et al.*2013 · 472 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2013-learning-whom-trust-mace/)
558. [**A Simple and Effective Hierarchical Phrase Reordering Model**Michel Galley, Christopher D. Manning*2008 · 472 citations*](https://md.research.elamur.ai/free/en/papers/galley-2008-simple-effective-hierarchical-phrase-reordering/)
559. [**Demographic Dialectal Variation in Social Media: A Case Study of African-American English**Su Lin Blodgett, Lisa Green, Brendan O'Connor*2016 · 470 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2016-demographic-dialectal-variation-social-media/)
560. [**ASTD: Arabic Sentiment Tweets Dataset**Mahmoud Nabil, Mohamed Aly, Amir Atiya*2015 · 470 citations*](https://md.research.elamur.ai/free/en/papers/nabil-2015-astd-arabic-sentiment-tweets-dataset/)
561. [**The ICSI Meeting Recorder Dialog Act (MRDA) Corpus**Elizabeth Shriberg, Raj Dhillon, Sonali Bhagat, et al.*2004 · 470 citations*](https://md.research.elamur.ai/free/en/papers/shriberg-2004-icsi-meeting-recorder-dialog-act/)
562. [**Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models**Minh-Thang Luong, Christopher D. Manning*2016 · 469 citations*](https://md.research.elamur.ai/free/en/papers/luong-2016-achieving-open-vocabulary-neural-machine/)
563. [**What to do about bad language on the internet**Jacob Eisenstein*2013 · 469 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2013-what-do-about-bad-language/)
564. [**PPT: Pre-trained Prompt Tuning for Few-shot Learning**Yuxian Gu, Xu Han, Zhiyuan Liu, et al.*2022 · 467 citations*](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/)
565. [**SemEval-2018 Task 3: Irony Detection in English Tweets**Cynthia Van Hee, Els Lefever, Véronique Hoste*2018 · 467 citations*](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/)
566. [**Controlling Politeness in Neural Machine Translation via Side Constraints**Rico Sennrich, Barry Haddow, Alexandra Birch*2016 · 467 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2016-controlling-politeness-neural-machine-translation/)
567. [**When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?**Ye Qi, Devendra Sachan, Matthieu Felix, et al.*2018 · 466 citations*](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/)
568. [**XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning**Edoardo Maria Ponti, Goran Glavaš, Olga Majewska, et al.*2020 · 465 citations*](https://md.research.elamur.ai/free/en/papers/ponti-2020-xcopa-multilingual-dataset-causal-commonsense/)
569. [**Reducing Gender Bias in Abusive Language Detection**Ji Ho Park, Jamin Shin, Pascale Fung*2018 · 464 citations*](https://md.research.elamur.ai/free/en/papers/park-2018-reducing-gender-bias-abusive-language/)
570. [**Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus**Yuk Wah Wong, Raymond Mooney*2007 · 464 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-learning-synchronous-grammars-semantic-parsing/)
571. [**Word-Sense Disambiguation Using Statistical Methods**Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, et al.*1991 · 464 citations*](https://md.research.elamur.ai/free/en/papers/brown-1991-word-sense-disambiguation-statistical-methods/)
572. [**Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 463 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/)
573. [**Hierarchical Transformers for Multi-Document Summarization**Yang Liu, Mirella Lapata*2019 · 462 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-hierarchical-transformers-multi-document-summarization/)
574. [**End-to-end learning of semantic role labeling using recurrent neural networks**Jie Zhou, Wei Xu*2015 · 462 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2015-end-end-learning-semantic-role/)
575. [**A non-projective dependency parser**Pasi Tapanainen, Timo Jarvinen*1997 · 462 citations*](https://md.research.elamur.ai/free/en/papers/tapanainen-1997-non-projective-dependency-parser/)
576. [**From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers**Anne Lauscher, Vinit Ravishankar, Ivan Vulić, et al.*2020 · 461 citations*](https://md.research.elamur.ai/free/en/papers/lauscher-2020-zero-hero-limitations-zero-shot/)
577. [**The E2E Dataset: New Challenges For End-to-End Generation**Jekaterina Novikova, Ondřej Dušek, Verena Rieser*2017 · 461 citations*](https://md.research.elamur.ai/free/en/papers/novikova-2017-e2e-dataset-new-challenges-end/)
578. [**Deep Reinforcement Learning for Mention-Ranking Coreference Models**Kevin Clark, Christopher D. Manning*2016 · 461 citations*](https://md.research.elamur.ai/free/en/papers/clark-2016-deep-reinforcement-learning-mention-ranking/)
579. [**Findings of the 2015 Workshop on Statistical Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 461 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/)
580. [**Automatic Evaluation of Translation Quality for Distant Language Pairs**Hideki Isozaki, Tsutomu Hirao, Kevin Duh, et al.*2010 · 461 citations*](https://md.research.elamur.ai/free/en/papers/isozaki-2010-automatic-evaluation-translation-quality-distant/)
581. [**Pseudo-Projective Dependency Parsing**Joakim Nivre, Jens Nilsson*2005 · 461 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2005-pseudo-projective-dependency-parsing/)
582. [**Distributional Semantics in Technicolor**Elia Bruni, Gemma Boleda, Marco Baroni, et al.*2012 · 459 citations*](https://md.research.elamur.ai/free/en/papers/bruni-2012-distributional-semantics-technicolor/)
583. [**SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles**Su Nam Kim, Olena Medelyan, Min-Yen Kan, et al.*2010 · 459 citations*](https://md.research.elamur.ai/free/en/papers/kim-2010-semeval-2010-task-5-automatic/)
584. [**Are All Languages Created Equal in Multilingual BERT?**Shijie Wu, Mark Dredze*2020 · 458 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-are-all-languages-created-equal/)
585. [**Graph-to-Sequence Learning using Gated Graph Neural Networks**Daniel Beck, Gholamreza Haffari, Trevor Cohn*2018 · 456 citations*](https://md.research.elamur.ai/free/en/papers/beck-2018-graph-sequence-learning-gated-graph/)
586. [**Emergent: a novel data-set for stance classification**William Ferreira, Andreas Vlachos*2016 · 456 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2016-emergent-novel-data-set-stance/)
587. [**Learning Semantic Correspondences with Less Supervision**Percy Liang, Michael Jordan, Dan Klein*2009 · 455 citations*](https://md.research.elamur.ai/free/en/papers/liang-2009-learning-semantic-correspondences-less-supervision/)
588. [**Discourse Segmentation of Multi-Party Conversation**Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, et al.*2003 · 455 citations*](https://md.research.elamur.ai/free/en/papers/galley-2003-discourse-segmentation-multi-party-conversation/)
589. [**Exploring Pre-trained Language Models for Event Extraction and Generation**Sen Yang, Dawei Feng, Linbo Qiao, et al.*2019 · 454 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-exploring-pre-trained-language-models/)
590. [**Tree-to-String Alignment Template for Statistical Machine Translation**Yang Liu, Qun Liu, Shouxun Lin*2006 · 454 citations*](https://md.research.elamur.ai/free/en/papers/liu-2006-tree-string-alignment-template-statistical/)
591. [**Deep Keyphrase Generation**Rui Meng, Sanqiang Zhao, Shuguang Han, et al.*2017 · 453 citations*](https://md.research.elamur.ai/free/en/papers/meng-2017-deep-keyphrase-generation/)
592. [**Bilingual Word Representations with Monolingual Quality in Mind**Thang Luong, Hieu Pham, Christopher D. Manning*2015 · 453 citations*](https://md.research.elamur.ai/free/en/papers/luong-2015-bilingual-word-representations-monolingual-quality/)
593. [**LinkBERT: Pretraining Language Models with Document Links**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2022 · 452 citations*](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/)
594. [**Forest Rescoring: Faster Decoding with Integrated Language Models**Liang Huang, David Chiang*2007 · 452 citations*](https://md.research.elamur.ai/free/en/papers/huang-2007-forest-rescoring-faster-decoding-integrated/)
595. [**Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System**Jost Schatzmann, Blaise Thomson, Karl Weilhammer, et al.*2007 · 452 citations*](https://md.research.elamur.ai/free/en/papers/schatzmann-2007-agenda-based-user-simulation-bootstrapping/)
596. [**Monolingual Machine Translation for Paraphrase Generation**Chris Quirk, Chris Brockett, William Dolan*2004 · 452 citations*](https://md.research.elamur.ai/free/en/papers/quirk-2004-monolingual-machine-translation-paraphrase-generation/)
597. [**ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training**Weizhen Qi, Yu Yan, Yeyun Gong, et al.*2020 · 451 citations*](https://md.research.elamur.ai/free/en/papers/qi-2020-prophetnet-predicting-future-n-gram/)
598. [**Meta-Learning for Low-Resource Neural Machine Translation**Jiatao Gu, Yong Wang, Yun Chen, et al.*2018 · 451 citations*](https://md.research.elamur.ai/free/en/papers/gu-2018-meta-learning-low-resource-neural/)
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