---
title: "Language and Linguistics — papers, page 10 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 10 of 93 · 826–925, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 10 of 93 · 826–925 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Language and Linguistics is a subfield of Arts and Humanities in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Syntax, Semantics, Linguistic Variation».

## Papers (9,206)

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826. [**ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs**Yujia Qin, Shihao Liang, Yining Ye, et al.*2023 · 566 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/)
827. [**Parallel Implementations of Word Alignment Tool**Qin Gao, Stephan Vogel*2008 · 566 citations*](https://md.research.elamur.ai/free/en/papers/gao-2008-parallel-implementations-word-alignment-tool/)
828. [**Improving Factuality and Reasoning in Language Models through Multiagent Debate**Yilun Du, Shuang Li, Antonio Torralba, et al.*2023 · 565 citations*](https://md.research.elamur.ai/free/en/papers/du-2023-improving-factuality-reasoning-language-models/)
829. [**Galactica: A Large Language Model for Science**Ross Taylor, Marcin Kardas, Guillem Cucurull, et al.*2022 · 565 citations*](https://md.research.elamur.ai/free/en/papers/taylor-2022-galactica-large-language-model-science/)
830. [**AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models**Wanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.*2024 · 564 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2024-agieval-human-centric-benchmark-evaluating/)
831. [**Large Language Models Can Self-Improve**Jiaxin Huang, Shixiang Gu, Le Hou, et al.*2023 · 563 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/)
832. [**Leveraging Pre-trained Checkpoints for Sequence Generation Tasks**Sascha Rothe, Shashi Narayan, Aliaksei Severyn*2019 · 563 citations*](https://md.research.elamur.ai/free/en/papers/rothe-2019-leveraging-pre-trained-checkpoints-sequence/)
833. [**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/)
834. [**Unsupervised Modeling of Twitter Conversations**Alan Ritter, Colin Cherry, Bill Dolan*2010 · 561 citations*](https://md.research.elamur.ai/free/en/papers/ritter-2010-unsupervised-modeling-twitter-conversations/)
835. [**Finding Parts in Very Large Corpora**Matthew Berland, Eugene Charniak*1999 · 561 citations*](https://md.research.elamur.ai/free/en/papers/berland-1999-finding-parts-very-large-corpora/)
836. [**Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text**Soo-Min Kim, Eduard Hovy*2006 · 560 citations*](https://md.research.elamur.ai/free/en/papers/kim-2006-extracting-opinions-opinion-holders-topics/)
837. [**The Fisher Corpus: a Resource for the Next Generations of Speech-to-Text**Christopher Cieri, David Miller, Kevin Walker*2004 · 560 citations*](https://md.research.elamur.ai/free/en/papers/cieri-2004-fisher-corpus-resource-next-generations/)
838. [**Sentence Level Discourse Parsing using Syntactic and Lexical Information**Radu Soricut, Daniel Marcu*2003 · 560 citations*](https://md.research.elamur.ai/free/en/papers/soricut-2003-sentence-level-discourse-parsing-syntactic/)
839. [**A Categorical Archive of ChatGPT Failures**Ali Borji*2023 · 558 citations*](https://md.research.elamur.ai/free/en/papers/borji-2023-categorical-archive-chatgpt-failures/)
840. [**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/)
841. [**Neural Text Summarization: A Critical Evaluation**Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.*2019 · 558 citations*](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/)
842. [**Simple and Effective Multi-Paragraph Reading Comprehension**Christopher Clark, Matt Gardner*2017 · 558 citations*](https://md.research.elamur.ai/free/en/papers/clark-2017-simple-effective-multi-paragraph-reading/)
843. [**MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models**Longhui Yu, Weisen Jiang, Han Shi, et al.*2023 · 556 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/)
844. [**Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges**Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.*2019 · 556 citations*](https://md.research.elamur.ai/free/en/papers/arivazhagan-2019-massively-multilingual-neural-machine-translation/)
845. [**gpt-oss-120b & gpt-oss-20b Model Card**OpenAI: Sandhini Agarwal, Lama Ahmad, Jason Ai, et al.*2025 · 555 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2025-gpt-oss-120b-gpt-oss/)
846. [**Style Transfer Through Back-Translation**Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, et al.*2018 · 555 citations*](https://md.research.elamur.ai/free/en/papers/prabhumoye-2018-style-transfer-through-back-translation/)
847. [**Event Detection and Domain Adaptation with Convolutional Neural Networks**Thien Huu Nguyen, Ralph Grishman*2015 · 555 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2015-event-detection-domain-adaptation-convolutional/)
848. [**A Monolingual Tree-based Translation Model for Sentence Simplification**Zhemin Zhu, Delphine Bernhard, Iryna Gurevych*2010 · 555 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2010-monolingual-tree-based-translation-model/)
849. [**Reducing Transformer Depth on Demand with Structured Dropout**Angela Fan, Edouard Grave, Armand Joulin*2019 · 554 citations*](https://md.research.elamur.ai/free/en/papers/fan-2019-reducing-transformer-depth-demand-structured/)
850. [**The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation**Mia Xu Chen, Orhan Firat, Ankur Bapna, et al.*2018 · 554 citations*](https://md.research.elamur.ai/free/en/papers/chen-2018-best-both-worlds-combining-recent/)
851. [**Cross-Sentence N-ary Relation Extraction with Graph LSTMs**Nanyun Peng, Hoifung Poon, Chris Quirk, et al.*2017 · 554 citations*](https://md.research.elamur.ai/free/en/papers/peng-2017-cross-sentence-n-ary-relation/)
852. [**How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection**Biyang Guo, Xin Zhang, Ziyuan Wang, et al.*2023 · 553 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-close-chatgpt-human-experts-comparison/)
853. [**XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization**Junjie Hu, Sebastian Ruder, Aditya Siddhant, et al.*2020 · 552 citations*](https://md.research.elamur.ai/free/en/papers/hu-2020-xtreme-massively-multilingual-multi-task/)
854. [**Learning to Compose Neural Networks for Question Answering**Jacob Andreas, Marcus Rohrbach, Trevor Darrell, et al.*2016 · 552 citations*](https://md.research.elamur.ai/free/en/papers/andreas-2016-learning-compose-neural-networks-question/)
855. [**Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement**Jason Lee, Elman Mansimov, Kyunghyun Cho*2018 · 551 citations*](https://md.research.elamur.ai/free/en/papers/lee-2018-deterministic-non-autoregressive-neural-sequence/)
856. [**Fully Character-Level Neural Machine Translation without Explicit Segmentation**Jason Lee, Kyunghyun Cho, Thomas Hofmann*2017 · 551 citations*](https://md.research.elamur.ai/free/en/papers/lee-2017-fully-character-level-neural-machine/)
857. [**Batch Tuning Strategies for Statistical Machine Translation**Colin Cherry, George Foster*2012 · 549 citations*](https://md.research.elamur.ai/free/en/papers/cherry-2012-batch-tuning-strategies-statistical-machine/)
858. [**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/)
859. [**Sentence Fusion for Multidocument News Summarization**Regina Barzilay, Kathleen R. McKeown*2005 · 549 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2005-sentence-fusion-multidocument-news-summarization/)
860. [**Qwen2.5-Coder Technical Report**Binyuan Hui, Jian Yang, Zeyu Cui, et al.*2024 · 547 citations*](https://md.research.elamur.ai/free/en/papers/hui-2024-qwen2-5-coder-technical-report/)
861. [**SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine**Matthew Dunn, Levent Sagun, Mike Higgins, et al.*2017 · 547 citations*](https://md.research.elamur.ai/free/en/papers/dunn-2017-searchqa-new-q-dataset-augmented/)
862. [**What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams**Di Jin, Eileen Pan, Nassim Oufattole, et al.*2020 · 546 citations*](https://md.research.elamur.ai/free/en/papers/jin-2020-disease-this-patient-have-large/)
863. [**BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis**Hu Xu, Bing Liu, Lei Shu, et al.*2019 · 546 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-bert-post-training-review-reading/)
864. [**Fast and Accurate Entity Recognition with Iterated Dilated Convolutions**Emma Strubell, Patrick Verga, David Belanger, et al.*2017 · 546 citations*](https://md.research.elamur.ai/free/en/papers/strubell-2017-fast-accurate-entity-recognition-iterated/)
865. [**Precise Zero-Shot Dense Retrieval without Relevance Labels**Luyu Gao, Xueguang Ma, Jimmy Lin, et al.*2022 · 545 citations*](https://md.research.elamur.ai/free/en/papers/gao-2022-precise-zero-shot-dense-retrieval/)
866. [**Release Strategies and the Social Impacts of Language Models**Irene Solaiman, Miles Brundage, Jack Clark, et al.*2019 · 545 citations*](https://md.research.elamur.ai/free/en/papers/solaiman-2019-release-strategies-social-impacts-language/)
867. [**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/)
868. [**Edinburgh System Description for the 2005 IWSLT Speech Translation Evaluation**Philipp Koehn, Amittai Axelrod, Alexandra Birch Mayne, et al.*2005 · 545 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2005-edinburgh-system-description-2005-iwslt/)
869. [**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/)
870. [**TextBugger: Generating Adversarial Text Against Real-world Applications**Jinfeng Li, Shouling Ji, Tianyu Du, et al.*2018 · 543 citations*](https://md.research.elamur.ai/free/en/papers/li-2018-textbugger-generating-adversarial-text-against/)
871. [**End-to-End Open-Domain Question Answering with BERTserini**Wei Yang, Yuqing Xie, Aileen Lin, et al.*2019 · 542 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-end-end-open-domain-question/)
872. [**Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos**Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al.*2018 · 542 citations*](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/)
873. [**A Structured Review of the Validity of BLEU**Ehud Reiter*2018 · 541 citations*](https://md.research.elamur.ai/free/en/papers/reiter-2018-structured-review-validity-bleu/)
874. [**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/)
875. [**LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code**Naman Jain, King Han, Alex Gu, et al.*2024 · 540 citations*](https://md.research.elamur.ai/free/en/papers/jain-2024-livecodebench-holistic-contamination-free-evaluation/)
876. [**Document Ranking with a Pretrained Sequence-to-Sequence Model**Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.*2020 · 540 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2020-document-ranking-pretrained-sequence-sequence/)
877. [**Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning**Lifu Huang, Ronan Le Bras, Chandra Bhagavatula, et al.*2019 · 539 citations*](https://md.research.elamur.ai/free/en/papers/huang-2019-cosmos-qa-machine-reading-comprehension/)
878. [**Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models**Iulian V. Serban, Alessandro Sordoni, Yoshua Bengio, et al.*2015 · 539 citations*](https://md.research.elamur.ai/free/en/papers/serban-2015-building-end-end-dialogue-systems/)
879. [**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/)
880. [**Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks**Jason Weston, Antoine Bordes, Sumit Chopra, et al.*2015 · 537 citations*](https://md.research.elamur.ai/free/en/papers/weston-2015-towards-ai-complete-question-answering/)
881. [**Unleashing the potential of prompt engineering for large language models**Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.*2023 · 536 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-unleashing-potential-prompt-engineering-large/)
882. [**Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition**Leon Derczynski, Eric Nichols, Marieke van Erp, et al.*2017 · 536 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/)
883. [**Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules**Heeyoung Lee, Angel Chang, Yves Peirsman, et al.*2013 · 536 citations*](https://md.research.elamur.ai/free/en/papers/lee-2013-deterministic-coreference-resolution-based-entity/)
884. [**Learning principled bilingual mappings of word embeddings while preserving monolingual invariance**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2016 · 535 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2016-learning-principled-bilingual-mappings-word/)
885. [**Building Large Monolingual Dictionaries at the Leipzig Corpora Collection: From 100 to 200 Languages**Dirk Goldhahn, Thomas Eckart, Uwe Quasthoff*2012 · 535 citations*](https://md.research.elamur.ai/free/en/papers/goldhahn-2012-building-large-monolingual-dictionaries-leipzig/)
886. [**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/)
887. [**Jailbreaking Black Box Large Language Models in Twenty Queries**Patrick Chao, Alexander Robey, Edgar Dobriban, et al.*2023 · 533 citations*](https://md.research.elamur.ai/free/en/papers/chao-2023-jailbreaking-black-box-large-language/)
888. [**A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues**Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, et al.*2016 · 533 citations*](https://md.research.elamur.ai/free/en/papers/serban-2016-hierarchical-latent-variable-encoder-decoder/)
889. [**Machine Comprehension Using Match-LSTM and Answer Pointer**Shuohang Wang, Jing Jiang*2016 · 532 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-machine-comprehension-using-match-lstm/)
890. [**Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning**Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer*2021 · 531 citations*](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/)
891. [**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/)
892. [**Gorilla: Large Language Model Connected with Massive APIs**Shishir G. Patil, Tianjun Zhang, Xin Wang, et al.*2023 · 529 citations*](https://md.research.elamur.ai/free/en/papers/patil-2023-gorilla-large-language-model-connected/)
893. [**MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models**Chaoyou Fu, Peixian Chen, Yunhang Shen, et al.*2023 · 529 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-mme-comprehensive-evaluation-benchmark-multimodal/)
894. [**TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking**Yucheng Wang, Bowen Yu, Yueyang Zhang, et al.*2020 · 529 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-tplinker-single-stage-joint-extraction/)
895. [**The Natural Language Decathlon: Multitask Learning as Question Answering**Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.*2018 · 529 citations*](https://md.research.elamur.ai/free/en/papers/mccann-2018-natural-language-decathlon-multitask-learning/)
896. [**Creating Training Corpora for NLG Micro-Planners**Claire Gardent, Anastasia Shimorina, Shashi Narayan, et al.*2017 · 528 citations*](https://md.research.elamur.ai/free/en/papers/gardent-2017-creating-training-corpora-nlg-micro/)
897. [**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/)
898. [**The Second Conversational Intelligence Challenge (ConvAI2)**Emily Dinan, Varvara Logacheva, Valentin Malykh, et al.*2019 · 527 citations*](https://md.research.elamur.ai/free/en/papers/dinan-2019-second-conversational-intelligence-challenge-convai2/)
899. [**Grounding Action Descriptions in Videos**Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, et al.*2013 · 527 citations*](https://md.research.elamur.ai/free/en/papers/regneri-2013-grounding-action-descriptions-videos/)
900. [**HHMM-based Chinese Lexical Analyzer ICTCLAS**Hua-Ping Zhang, Hong-Kui Yu, De-Yi Xiong, et al.*2003 · 527 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2003-hhmm-based-chinese-lexical-analyzer/)
901. [**Providing a Unified Account of Definite Noun Phrases in Discourse**Barbara J. Grosz, Aravind K. Joshi, Scott Weinstein*1983 · 527 citations*](https://md.research.elamur.ai/free/en/papers/grosz-1983-providing-unified-account-definite-noun/)
902. [**Simple, Scalable Adaptation for Neural Machine Translation**Ankur Bapna, Orhan Firat*2019 · 526 citations*](https://md.research.elamur.ai/free/en/papers/bapna-2019-simple-scalable-adaptation-neural-machine/)
903. [**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 · 526 citations*](https://md.research.elamur.ai/free/en/papers/marelli-2014-semeval-2014-task-1-evaluation/)
904. [**Large Language Models Can Be Easily Distracted by Irrelevant Context**Freda Shi, Xinyun Chen, Kanishka Misra, et al.*2023 · 525 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-large-language-models-easily-distracted/)
905. [**The United Nations Parallel Corpus v1.0**Michał Ziemski, Marcin Junczys-Dowmunt, Bruno Pouliquen*2016 · 525 citations*](https://md.research.elamur.ai/free/en/papers/ziemski-2016-united-nations-parallel-corpus-v1/)
906. [**Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters**Charlie Snell, Jaehoon Lee, Kelvin Xu, et al.*2024 · 524 citations*](https://md.research.elamur.ai/free/en/papers/snell-2024-scaling-llm-test-time-compute/)
907. [**VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation**Changhan Wang, Morgane Riviere, Ann Lee, et al.*2021 · 524 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-voxpopuli-large-scale-multilingual-speech/)
908. [**Generation that Exploits Corpus-Based Statistical Knowledge**Irene Langkilde, Kevin Knight*1998 · 524 citations*](https://md.research.elamur.ai/free/en/papers/langkilde-1998-generation-that-exploits-corpus-based/)
909. [**Toward Controlled Generation of Text**Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.*2017 · 523 citations*](https://md.research.elamur.ai/free/en/papers/hu-2017-toward-controlled-generation-text/)
910. [**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/)
911. [**Using Semantic Roles to Improve Question Answering**Dan Shen, Mirella Lapata*2007 · 523 citations*](https://md.research.elamur.ai/free/en/papers/shen-2007-semantic-roles-improve-question-answering/)
912. [**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/)
913. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*2020 · 522 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
914. [**Stance Detection with Bidirectional Conditional Encoding**Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, et al.*2016 · 522 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2016-stance-detection-bidirectional-conditional-encoding/)
915. [**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/)
916. [**Using Corpus Statistics and WordNet Relations for Sense Identification**Claudia Leacock, Martin Chodorow, George A. Miller*1998 · 520 citations*](https://md.research.elamur.ai/free/en/papers/leacock-1998-corpus-statistics-wordnet-relations-sense/)
917. [**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/)
918. [**The Social Impact of Natural Language Processing**Dirk Hovy, Shannon L. Spruit*2016 · 518 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2016-social-impact-natural-language-processing/)
919. [**Instruction Tuning for Large Language Models: A Survey**Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al.*2023 · 517 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-instruction-tuning-large-language-models/)
920. [**Assessing BERT's Syntactic Abilities**Yoav Goldberg*2019 · 517 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2019-assessing-bert-s-syntactic-abilities/)
921. [**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/)
922. [**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/)
923. [**Automatic classification of citation function**Simone Teufel, Advaith Siddharthan, Dan Tidhar*2006 · 517 citations*](https://md.research.elamur.ai/free/en/papers/teufel-2006-automatic-classification-citation-function/)
924. [**Crowdsourcing Multiple Choice Science Questions**Johannes Welbl, Nelson F. Liu, Matt Gardner*2017 · 516 citations*](https://md.research.elamur.ai/free/en/papers/welbl-2017-crowdsourcing-multiple-choice-science-questions/)
925. [**DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations**John Giorgi, Osvald Nitski, Bo Wang, et al.*2021 · 515 citations*](https://md.research.elamur.ai/free/en/papers/giorgi-2021-declutr-deep-contrastive-learning-unsupervised/)

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