---
title: "Language and Linguistics — papers, page 8 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 8 of 93 · 626–725, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/8/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/8/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) / [Language and Linguistics](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) / page 8

# 🗣️ Language and Linguistics

9,206 papers · page 8 of 93 · 626–725 · 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)

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/7/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) … [7](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/7/) **8** [9](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/9/) [10](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/10/) … [93](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/93/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/9/)

626. [**Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality**Jey Han Lau, David Newman, Timothy Baldwin*2014 · 702 citations*](https://md.research.elamur.ai/free/en/papers/lau-2014-machine-reading-tea-leaves-automatically/)
627. [**Data-Driven Response Generation in Social Media**Alan Ritter, Colin Cherry, William B. Dolan*2011 · 701 citations*](https://md.research.elamur.ai/free/en/papers/ritter-2011-data-driven-response-generation-social/)
628. [**Factored Translation Models**Philipp Koehn, Hieu Hoang*2007 · 699 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2007-factored-translation-models/)
629. [**Entity-Based Cross-Document Coreferencing Using the Vector Space Model**Amit Bagga, Breck Baldwin*1998 · 699 citations*](https://md.research.elamur.ai/free/en/papers/bagga-1998-entity-based-cross-document-coreferencing/)
630. [**Modeling Relation Paths for Representation Learning of Knowledge Bases**Yankai Lin, Zhiyuan Liu, Huanbo Luan, et al.*2015 · 698 citations*](https://md.research.elamur.ai/free/en/papers/lin-2015-modeling-relation-paths-representation-learning/)
631. [**Effective LSTMs for Target-Dependent Sentiment Classification**Duyu Tang, Bing Qin, Xiaocheng Feng, et al.*2016 · 697 citations*](https://md.research.elamur.ai/free/en/papers/tang-2016-effective-lstms-target-dependent-sentiment/)
632. [**Neural Text Generation from Structured Data with Application to the Biography Domain**Remi Lebret, David Grangier, Michael Auli*2016 · 697 citations*](https://md.research.elamur.ai/free/en/papers/lebret-2016-neural-text-generation-structured-data/)
633. [**The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations**Felix Hill, Antoine Bordes, Sumit Chopra, et al.*2015 · 697 citations*](https://md.research.elamur.ai/free/en/papers/hill-2015-goldilocks-principle-reading-children-s/)
634. [**langid.py: An Off-the-shelf Language Identification Tool**Marco Lui, Timothy Baldwin*2012 · 696 citations*](https://md.research.elamur.ai/free/en/papers/lui-2012-langid-py-off-shelf-language/)
635. [**Crosslingual Generalization through Multitask Finetuning**Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.*2022 · 695 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-crosslingual-generalization-through-multitask-finetuning/)
636. [**WebGPT: Browser-assisted question-answering with human feedback**Reiichiro Nakano, Jacob Hilton, Suchir Balaji, et al.*2021 · 695 citations*](https://md.research.elamur.ai/free/en/papers/nakano-2021-webgpt-browser-assisted-question-answering/)
637. [**Advances in domain independent linear text segmentation**Freddy Y. Y. Choi*2000 · 694 citations*](https://md.research.elamur.ai/free/en/papers/choi-2000-advances-domain-independent-linear-text/)
638. [**Explain Yourself! Leveraging Language Models for Commonsense Reasoning**Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, et al.*2019 · 693 citations*](https://md.research.elamur.ai/free/en/papers/rajani-2019-explain-yourself-leveraging-language-models/)
639. [**GLTR: Statistical Detection and Visualization of Generated Text**Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush*2019 · 693 citations*](https://md.research.elamur.ai/free/en/papers/gehrmann-2019-gltr-statistical-detection-visualization-generated/)
640. [**SPECTER: Document-level Representation Learning using Citation-informed Transformers**Arman Cohan, Sergey Feldman, Iz Beltagy, et al.*2020 · 692 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2020-specter-document-level-representation-learning/)
641. [**TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages**Jonathan H. Clark, Eunsol Choi, Michael Collins, et al.*2020 · 692 citations*](https://md.research.elamur.ai/free/en/papers/clark-2020-tydi-qa-benchmark-information-seeking/)
642. [**Extracting Paraphrases from a Parallel Corpus**Regina Barzilay, Kathleen R. McKeown*2001 · 692 citations*](https://md.research.elamur.ai/free/en/papers/barzilay-2001-extracting-paraphrases-parallel-corpus/)
643. [**A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task**Danqi Chen, Jason Bolton, Christopher D. Manning*2016 · 691 citations*](https://md.research.elamur.ai/free/en/papers/chen-2016-thorough-examination-cnn-daily-mail/)
644. [**Automatic Chain of Thought Prompting in Large Language Models**Zhuosheng Zhang, Aston Zhang, Mu Li, et al.*2022 · 690 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-automatic-chain-thought-prompting-large/)
645. [**TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data**Pengcheng Yin, Graham Neubig, Wen-tau Yih, et al.*2020 · 690 citations*](https://md.research.elamur.ai/free/en/papers/yin-2020-tabert-pretraining-joint-understanding-textual/)
646. [**DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation**Yizhe Zhang, Siqi Sun, Michel Galley, et al.*2019 · 690 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-dialogpt-large-scale-generative-pre/)
647. [**Findings of the 2017 Conference on Machine Translation (WMT17)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 689 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/)
648. [**ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools**Team GLM, Aohan Zeng, Bin Xu, et al.*2024 · 688 citations*](https://md.research.elamur.ai/free/en/papers/glm-2024-chatglm-family-large-language-models/)
649. [**Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes**Cheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.*2023 · 685 citations*](https://md.research.elamur.ai/free/en/papers/hsieh-2023-distilling-step-step-outperforming-larger/)
650. [**ELI5: Long Form Question Answering**Angela Fan, Yacine Jernite, Ethan Perez, et al.*2019 · 685 citations*](https://md.research.elamur.ai/free/en/papers/fan-2019-eli5-long-form-question-answering/)
651. [**Learning bilingual word embeddings with (almost) no bilingual data**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2017 · 685 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2017-learning-bilingual-word-embeddings-almost/)
652. [**Bilingual Word Embeddings for Phrase-Based Machine Translation**Will Y. Zou, Richard Socher, Daniel Cer, et al.*2013 · 685 citations*](https://md.research.elamur.ai/free/en/papers/zou-2013-bilingual-word-embeddings-phrase-based/)
653. [**Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks**Zhichun Wang, Qingsong Lv, Xiaohan Lan, et al.*2018 · 684 citations*](https://md.research.elamur.ai/free/en/papers/wang-2018-cross-lingual-knowledge-graph-alignment/)
654. [**A Class of Submodular Functions for Document Summarization**Hui Lin, Jeff Bilmes*2011 · 684 citations*](https://md.research.elamur.ai/free/en/papers/lin-2011-class-submodular-functions-document-summarization/)
655. [**Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval**Lee Xiong, Chenyan Xiong, Ye Li, et al.*2020 · 683 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2020-approximate-nearest-neighbor-negative-contrastive/)
656. [**Semantic Parsing via Paraphrasing**Jonathan Berant, Percy Liang*2014 · 682 citations*](https://md.research.elamur.ai/free/en/papers/berant-2014-semantic-parsing-paraphrasing/)
657. [**Joint Event Extraction via Structured Prediction with Global Features**Qi Li, Heng Ji, Liang Huang*2013 · 682 citations*](https://md.research.elamur.ai/free/en/papers/li-2013-joint-event-extraction-structured-prediction/)
658. [**Social Bias Frames: Reasoning about Social and Power Implications of Language**Maarten Sap, Saadia Gabriel, Lianhui Qin, et al.*2020 · 681 citations*](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/)
659. [**Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations**Patrick Pantel, Marco Pennacchiotti*2006 · 680 citations*](https://md.research.elamur.ai/free/en/papers/pantel-2006-espresso-leveraging-generic-patterns-automatically/)
660. [**Globally Normalized Transition-Based Neural Networks**Daniel Andor, Chris Alberti, David Weiss, et al.*2016 · 679 citations*](https://md.research.elamur.ai/free/en/papers/andor-2016-globally-normalized-transition-based-neural/)
661. [**Large Language Models Are Human-Level Prompt Engineers**Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.*2022 · 678 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2022-large-language-models-human-level/)
662. [**ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing**Mark Neumann, Daniel King, Iz Beltagy, et al.*2019 · 677 citations*](https://md.research.elamur.ai/free/en/papers/neumann-2019-scispacy-fast-robust-models-biomedical/)
663. [**Improved Alignment Models for Statistical Machine Translation**Franz Josef Och, Christoph Tillmann, Hermann Ney*1999 · 677 citations*](https://md.research.elamur.ai/free/en/papers/och-1999-improved-alignment-models-statistical-machine/)
664. [**Evaluation methods for unsupervised word embeddings**Tobias Schnabel, Igor Labutov, David Mimno, et al.*2015 · 674 citations*](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/)
665. [**context2vec: Learning Generic Context Embedding with Bidirectional LSTM**Oren Melamud, Jacob Goldberger, Ido Dagan*2016 · 672 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-context2vec-learning-generic-context-embedding/)
666. [**Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings**Apoorv Saxena, Aditay Tripathi, Partha Talukdar*2020 · 671 citations*](https://md.research.elamur.ai/free/en/papers/saxena-2020-improving-multi-hop-question-answering/)
667. [**Mask-Predict: Parallel Decoding of Conditional Masked Language Models**Marjan Ghazvininejad, Omer Levy, Yinhan Liu, et al.*2019 · 671 citations*](https://md.research.elamur.ai/free/en/papers/ghazvininejad-2019-mask-predict-parallel-decoding-conditional/)
668. [**Well-Read Students Learn Better: On the Importance of Pre-training Compact Models**Iulia Turc, Ming-Wei Chang, Kenton Lee, et al.*2019 · 671 citations*](https://md.research.elamur.ai/free/en/papers/turc-2019-well-read-students-learn-better/)
669. [**Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences**Daniel Khashabi, Snigdha Chaturvedi, Michael Roth, et al.*2018 · 671 citations*](https://md.research.elamur.ai/free/en/papers/khashabi-2018-looking-beyond-surface-challenge-set/)
670. [**Passage Re-ranking with BERT**Rodrigo Nogueira, Kyunghyun Cho*2019 · 670 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2019-passage-re-ranking-bert/)
671. [**MaltParser: A Data-Driven Parser-Generator for Dependency Parsing**Joakim Nivre, Johan Hall, Jens Nilsson*2006 · 669 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2006-maltparser-data-driven-parser-generator/)
672. [**Cross-lingual Name Tagging and Linking for 282 Languages**Xiaoman Pan, Boliang Zhang, Jonathan May, et al.*2017 · 668 citations*](https://md.research.elamur.ai/free/en/papers/pan-2017-cross-lingual-name-tagging-linking/)
673. [**A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks**Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.*2016 · 668 citations*](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/)
674. [**Fast and Robust Neural Network Joint Models for Statistical Machine Translation**Jacob Devlin, Rabih Zbib, Zhongqiang Huang, et al.*2014 · 668 citations*](https://md.research.elamur.ai/free/en/papers/devlin-2014-fast-robust-neural-network-joint/)
675. [**Noun Classification From Predicate-Argument Structures**Donald Hindle*1990 · 668 citations*](https://md.research.elamur.ai/free/en/papers/hindle-1990-noun-classification-predicate-argument-structures/)
676. [**Benchmarking Large Language Models for News Summarization**Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al.*2024 · 666 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/)
677. [**Red Teaming Language Models with Language Models**Ethan Perez, Saffron Huang, Francis Song, et al.*2022 · 666 citations*](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/)
678. [**BAE: BERT-based Adversarial Examples for Text Classification**Siddhant Garg, Goutham Ramakrishnan*2020 · 665 citations*](https://md.research.elamur.ai/free/en/papers/garg-2020-bae-bert-based-adversarial-examples/)
679. [**K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters**Ruize Wang, Duyu Tang, Nan Duan, et al.*2020 · 665 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/)
680. [**KILT: a Benchmark for Knowledge Intensive Language Tasks**Fabio Petroni, Aleksandra Piktus, Angela Fan, et al.*2020 · 665 citations*](https://md.research.elamur.ai/free/en/papers/petroni-2020-kilt-benchmark-knowledge-intensive-language/)
681. [**Efficient Content-Based Sparse Attention with Routing Transformers**Aurko Roy, Mohammad Saffar, Ashish Vaswani, et al.*2020 · 664 citations*](https://md.research.elamur.ai/free/en/papers/roy-2020-efficient-content-based-sparse-attention/)
682. [***SEM 2013 shared task: Semantic Textual Similarity**Eneko Agirre, Daniel Cer, Mona Diab, et al.*2013 · 663 citations*](https://md.research.elamur.ai/free/en/papers/agirre-2013-sem-2013-shared-task-semantic/)
683. [**A Phrase-Based,Joint Probability Model for Statistical Machine Translation**Daniel Marcu, Daniel Wong*2002 · 661 citations*](https://md.research.elamur.ai/free/en/papers/marcu-2002-phrase-based-joint-probability-model/)
684. [**An Improved Error Model for Noisy Channel Spelling Correction**Eric Brill, Robert C. Moore*2000 · 661 citations*](https://md.research.elamur.ai/free/en/papers/brill-2000-improved-error-model-noisy-channel/)
685. [**Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation**Markus Freitag, George Foster, David Grangier, et al.*2021 · 660 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/)
686. [**Automatic Identification of Word Translations from Unrelated English and German Corpora**Reinhard Rapp*1999 · 660 citations*](https://md.research.elamur.ai/free/en/papers/rapp-1999-automatic-identification-word-translations-unrelated/)
687. [**PARADISE: A Framework for Evaluating Spoken Dialogue Agents**Marilyn A. Walker, Diane J. Litman, Candace A. Kamm, et al.*1997 · 660 citations*](https://md.research.elamur.ai/free/en/papers/walker-1997-paradise-framework-evaluating-spoken-dialogue/)
688. [**Problems in Current Text Simplification Research: New Data Can Help**Wei Xu, Chris Callison-Burch, Courtney Napoles*2015 · 659 citations*](https://md.research.elamur.ai/free/en/papers/xu-2015-problems-current-text-simplification-research/)
689. [**Simple Semi-supervised Dependency Parsing**Terry Koo, Xavier Carreras, Michael Collins*2008 · 657 citations*](https://md.research.elamur.ai/free/en/papers/koo-2008-simple-semi-supervised-dependency-parsing/)
690. [**The JRC-Acquis: A Multilingual Aligned Parallel Corpus with 20+ Languages**Ralf Steinberger, Bruno Pouliquen, Anna Widiger, et al.*2006 · 657 citations*](https://md.research.elamur.ai/free/en/papers/steinberger-2006-jrc-acquis-multilingual-aligned-parallel/)
691. [**Aligning Sentences in Parallel Corpora**Peter F. Brown, Jennifer C. Lai, Robert L. Mercer*1991 · 657 citations*](https://md.research.elamur.ai/free/en/papers/brown-1991-aligning-sentences-parallel-corpora/)
692. [**Slot-Gated Modeling for Joint Slot Filling and Intent Prediction**Chih-Wen Goo, Guang Gao, Yun-Kai Hsu, et al.*2018 · 655 citations*](https://md.research.elamur.ai/free/en/papers/goo-2018-slot-gated-modeling-joint-slot/)
693. [**Instruction Tuning with GPT-4**Baolin Peng, Chunyuan Li, Pengcheng He, et al.*2023 · 654 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-instruction-tuning-gpt-4/)
694. [**Measures of Distributional Similarity**Lillian Lee*1999 · 654 citations*](https://md.research.elamur.ai/free/en/papers/lee-1999-measures-distributional-similarity/)
695. [**Unsupervised Machine Translation Using Monolingual Corpora Only**Guillaume Lample, Alexis Conneau, Ludovic Denoyer, et al.*2017 · 653 citations*](https://md.research.elamur.ai/free/en/papers/lample-2017-unsupervised-machine-translation-using-monolingual/)
696. [**A Neural Approach to Automated Essay Scoring**Kaveh Taghipour, Hwee Tou Ng*2016 · 652 citations*](https://md.research.elamur.ai/free/en/papers/taghipour-2016-neural-approach-automated-essay-scoring/)
697. [**Alignment by Agreement**Percy Liang, Ben Taskar, Dan Klein*2006 · 652 citations*](https://md.research.elamur.ai/free/en/papers/liang-2006-alignment-agreement/)
698. [**CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data**Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, et al.*2020 · 651 citations*](https://md.research.elamur.ai/free/en/papers/wenzek-2020-ccnet-extracting-high-quality-monolingual/)
699. [**Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging**Nils Reimers, Iryna Gurevych*2017 · 650 citations*](https://md.research.elamur.ai/free/en/papers/reimers-2017-reporting-score-distributions-makes-difference/)
700. [**Open Information Extraction Using Wikipedia**Fei Wu, Daniel S. Weld*2010 · 650 citations*](https://md.research.elamur.ai/free/en/papers/wu-2010-open-information-extraction-wikipedia/)
701. [**ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer**Yuanmeng Yan, Rumei Li, Sirui Wang, et al.*2021 · 648 citations*](https://md.research.elamur.ai/free/en/papers/yan-2021-consert-contrastive-framework-self-supervised/)
702. [**Incremental Joint Extraction of Entity Mentions and Relations**Qi Li, Heng Ji*2014 · 648 citations*](https://md.research.elamur.ai/free/en/papers/li-2014-incremental-joint-extraction-entity-mentions/)
703. [**Chunking with Support Vector Machines**Taku Kudo, Yuji Matsumoto*2001 · 648 citations*](https://md.research.elamur.ai/free/en/papers/kudo-2001-chunking-support-vector-machines/)
704. [**HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models**Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, et al.*2023 · 647 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-halueval-large-scale-hallucination-evaluation/)
705. [**FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP**Alan Akbik, Tanja Bergmann, Duncan Blythe, et al.*2019 · 647 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2019-flair-easy-use-framework-state/)
706. [**A Survey on Automated Fact-Checking**Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos*2022 · 646 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/)
707. [**Persistent Anti-Muslim Bias in Large Language Models**Abubakar Abid, Maheen Farooqi, James Zou*2021 · 644 citations*](https://md.research.elamur.ai/free/en/papers/abid-2021-persistent-anti-muslim-bias-large/)
708. [**A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)**Alane Suhr, Stephanie Zhou, Ally Zhang, et al.*2019 · 644 citations*](https://md.research.elamur.ai/free/en/papers/suhr-2019-corpus-reasoning-natural-language-grounded/)
709. [**Pointing the Unknown Words**Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.*2016 · 644 citations*](https://md.research.elamur.ai/free/en/papers/gulcehre-2016-pointing-unknown-words/)
710. [**ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge**Yunxiang Li, Zihan Li, Kai Zhang, et al.*2023 · 643 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-chatdoctor-medical-chat-model-fine/)
711. [**Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate**Tian Liang, Zhiwei He, Wenxiang Jiao, et al.*2023 · 643 citations*](https://md.research.elamur.ai/free/en/papers/liang-2023-encouraging-divergent-thinking-large-language/)
712. [**Algorithms for Deterministic Incremental Dependency Parsing**Joakim Nivre*2008 · 643 citations*](https://md.research.elamur.ai/free/en/papers/nivre-2008-algorithms-deterministic-incremental-dependency-parsing/)
713. [**Learning Word Vectors for 157 Languages**Edouard Grave, Piotr Bojanowski, Prakhar Gupta, et al.*2018 · 641 citations*](https://md.research.elamur.ai/free/en/papers/grave-2018-learning-word-vectors-157-languages/)
714. [**A Centering Approach to Pronouns**Susan E. Brennan, Marilyn W. Friedman, Carl J. Pollard*1987 · 641 citations*](https://md.research.elamur.ai/free/en/papers/brennan-1987-centering-approach-pronouns/)
715. [**A Linear Programming Formulation for Global Inference in Natural Language Tasks**Dan Roth, Wen-tau Yih*2004 · 639 citations*](https://md.research.elamur.ai/free/en/papers/roth-2004-linear-programming-formulation-global-inference/)
716. [**Scalable Inference and Training of Context-Rich Syntactic Translation Models**Michel Galley, Jonathan Graehl, Kevin Knight, et al.*2006 · 638 citations*](https://md.research.elamur.ai/free/en/papers/galley-2006-scalable-inference-training-context-rich/)
717. [**Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop**Nizar Habash, Owen Rambow*2005 · 635 citations*](https://md.research.elamur.ai/free/en/papers/habash-2005-arabic-tokenization-part-speech-tagging/)
718. [**DAPO: An Open-Source LLM Reinforcement Learning System at Scale**Qiying Yu, Zheng Zhang, Ruofei Zhu, et al.*2025 · 634 citations*](https://md.research.elamur.ai/free/en/papers/yu-2025-dapo-open-source-llm-reinforcement/)
719. [**Discriminating Gender on Twitter**John D. Burger, John Henderson, George Kim, et al.*2011 · 632 citations*](https://md.research.elamur.ai/free/en/papers/burger-2011-discriminating-gender-twitter/)
720. [**Exploring Content Models for Multi-Document Summarization**Aria Haghighi, Lucy Vanderwende*2009 · 632 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2009-exploring-content-models-multi-document/)
721. [**Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine**Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, et al.*2023 · 631 citations*](https://md.research.elamur.ai/free/en/papers/jiao-2023-chatgpt-good-translator-yes-gpt/)
722. [**The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages**Jan Hajič, Massimiliano Ciaramita, Richard Johansson, et al.*2009 · 631 citations*](https://md.research.elamur.ai/free/en/papers/hajic-2009-conll-2009-shared-task-syntactic/)
723. [**A Frustratingly Easy Approach for Entity and Relation Extraction**Zexuan Zhong, Danqi Chen*2020 · 630 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-frustratingly-easy-approach-entity-relation/)
724. [**Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond**Mikel Artetxe, Holger Schwenk*2018 · 629 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2018-massively-multilingual-sentence-embeddings-zero/)
725. [**Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots**Yu Wu, Wei Wu, Chen Xing, et al.*2017 · 629 citations*](https://md.research.elamur.ai/free/en/papers/wu-2017-sequential-matching-network-new-architecture/)

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/7/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) … [7](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/7/) **8** [9](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/9/) [10](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/10/) … [93](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/93/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/page/9/)
