---
title: "Language and Linguistics — papers, page 30 — Elamur Research"
description: "Language and Linguistics: 9,206 papers of the Elamur Research library · page 30 of 93 · 2826–2925, the most cited first — our summary of…"
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# 🗣️ Language and Linguistics

9,206 papers · page 30 of 93 · 2826–2925 · 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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2826. [**Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering**Eric Wallace, Pedro Rodriguez, Shi Feng, et al.*2019 · 182 citations*](https://md.research.elamur.ai/free/en/papers/wallace-2019-trick-me-if-you-can/)
2827. [**End-to-End Argumentation Mining in Student Essays**Isaac Persing, Vincent Ng*2016 · 182 citations*](https://md.research.elamur.ai/free/en/papers/persing-2016-end-end-argumentation-mining-student/)
2828. [**ISO 24617-2: A semantically-based standard for dialogue annotation**Harry Bunt, Jan Alexandersson, Jae-Woong Choe, et al.*2012 · 182 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2012-iso-24617-2-semantically-based/)
2829. [**Global Learning of Typed Entailment Rules**Jonathan Berant, Ido Dagan, Jacob Goldberger*2011 · 182 citations*](https://md.research.elamur.ai/free/en/papers/berant-2011-global-learning-typed-entailment-rules/)
2830. [**Unsupervised Coreference Resolution in a Nonparametric Bayesian Model**Aria Haghighi, Dan Klein*2007 · 182 citations*](https://md.research.elamur.ai/free/en/papers/haghighi-2007-unsupervised-coreference-resolution-nonparametric-bayesian/)
2831. [**MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition**Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al.*2022 · 181 citations*](https://md.research.elamur.ai/free/en/papers/malmasi-2022-multiconer-large-scale-multilingual-dataset/)
2832. [**Template-free Prompt Tuning for Few-shot NER**Ruotian Ma, Xin Zhou, Tao Gui, et al.*2022 · 181 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-template-free-prompt-tuning-few/)
2833. [**Charformer: Fast Character Transformers via Gradient-based Subword Tokenization**Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.*2021 · 181 citations*](https://md.research.elamur.ai/free/en/papers/tay-2021-charformer-fast-character-transformers-gradient/)
2834. [**Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions**Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/han-2020-explaining-black-box-predictions-unveiling/)
2835. [**Pre-training via Paraphrasing**Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.*2020 · 181 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pre-training-paraphrasing/)
2836. [**Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning**Pararth Shah, Dilek Hakkani-Tür, Bing Liu, et al.*2018 · 181 citations*](https://md.research.elamur.ai/free/en/papers/shah-2018-bootstrapping-neural-conversational-agent-dialogue/)
2837. [**Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering**Philipp Koehn, Huda Khayrallah, Kenneth Heafield, et al.*2018 · 181 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2018-findings-wmt-2018-shared-task/)
2838. [**Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling**Svetlana Kiritchenko, Saif M. Mohammad*2016 · 181 citations*](https://md.research.elamur.ai/free/en/papers/kiritchenko-2016-capturing-reliable-fine-grained-sentiment/)
2839. [**Labeling Chinese Predicates with Semantic Roles**Nianwen Xue*2008 · 181 citations*](https://md.research.elamur.ai/free/en/papers/xue-2008-labeling-chinese-predicates-semantic-roles/)
2840. [**Floresta Sintá(c)tica: A treebank for Portuguese**Susana Afonso, Eckhard Bick, Renato Haber, et al.*2002 · 181 citations*](https://md.research.elamur.ai/free/en/papers/afonso-2002-floresta-sinta-c-tica-treebank/)
2841. [**Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier**John Dang, Shivalika Singh, Daniel D'souza, et al.*2024 · 180 citations*](https://md.research.elamur.ai/free/en/papers/dang-2024-aya-expanse-combining-research-breakthroughs/)
2842. [**CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages**Thuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.*2023 · 180 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2023-culturax-cleaned-enormous-multilingual-dataset/)
2843. [**On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning**Omar Shaikh, Hongxin Zhang, William Held, et al.*2023 · 180 citations*](https://md.research.elamur.ai/free/en/papers/shaikh-2023-second-thought-let-s-not/)
2844. [**Prompt-learning for Fine-grained Entity Typing**Ning Ding, Yulin Chen, Xu Han, et al.*2022 · 180 citations*](https://md.research.elamur.ai/free/en/papers/ding-2022-prompt-learning-fine-grained-entity/)
2845. [**Glancing Transformer for Non-Autoregressive Neural Machine Translation**Lihua Qian, Hao Zhou, Yu Bao, et al.*2021 · 180 citations*](https://md.research.elamur.ai/free/en/papers/qian-2021-glancing-transformer-non-autoregressive-neural/)
2846. [**MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization**Chenguang Zhu, Yang Liu, Jie Mei, et al.*2021 · 180 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-mediasum-large-scale-media-interview/)
2847. [**Planning with Learned Entity Prompts for Abstractive Summarization**Shashi Narayan, Yao Zhao, Joshua Maynez, et al.*2021 · 180 citations*](https://md.research.elamur.ai/free/en/papers/narayan-2021-planning-learned-entity-prompts-abstractive/)
2848. [**AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models**Eric Wallace, Jens Tuyls, Junlin Wang, et al.*2019 · 180 citations*](https://md.research.elamur.ai/free/en/papers/wallace-2019-allennlp-interpret-framework-explaining-predictions/)
2849. [**Data-to-text Generation with Entity Modeling**Ratish Puduppully, Li Dong, Mirella Lapata*2019 · 180 citations*](https://md.research.elamur.ai/free/en/papers/puduppully-2019-data-text-generation-entity-modeling/)
2850. [**Representation Degeneration Problem in Training Natural Language Generation Models**Jun Gao, Di He, Xu Tan, et al.*2019 · 180 citations*](https://md.research.elamur.ai/free/en/papers/gao-2019-representation-degeneration-problem-training-natural/)
2851. [**A neural interlingua for multilingual machine translation**Yichao Lu, Phillip Keung, Faisal Ladhak, et al.*2018 · 180 citations*](https://md.research.elamur.ai/free/en/papers/lu-2018-neural-interlingua-multilingual-machine-translation/)
2852. [**Tensor2Tensor for Neural Machine Translation**Ashish Vaswani, Samy Bengio, Eugene Brevdo, et al.*2018 · 180 citations*](https://md.research.elamur.ai/free/en/papers/vaswani-2018-tensor2tensor-neural-machine-translation/)
2853. [**Neural Discourse Structure for Text Categorization**Yangfeng Ji, Noah A. Smith*2017 · 180 citations*](https://md.research.elamur.ai/free/en/papers/ji-2017-neural-discourse-structure-text-categorization/)
2854. [**Event Detection and Co-reference with Minimal Supervision**Haoruo Peng, Yangqiu Song, Dan Roth*2016 · 180 citations*](https://md.research.elamur.ai/free/en/papers/peng-2016-event-detection-co-reference-minimal/)
2855. [**Joint Lemmatization and Morphological Tagging with Lemming**Thomas Müller, Ryan Cotterell, Alexander Fraser, et al.*2015 · 180 citations*](https://md.research.elamur.ai/free/en/papers/muller-2015-joint-lemmatization-morphological-tagging-lemming/)
2856. [**Semantics-Based Machine Translation with Hyperedge Replacement Grammars**Bevan Jones, Jacob Andreas, Daniel Bauer, et al.*2012 · 180 citations*](https://md.research.elamur.ai/free/en/papers/jones-2012-semantics-based-machine-translation-hyperedge/)
2857. [**A Unified Model of Phrasal and Sentential Evidence for Information Extraction**Siddharth Patwardhan, Ellen Riloff*2009 · 180 citations*](https://md.research.elamur.ai/free/en/papers/patwardhan-2009-unified-model-phrasal-sentential-evidence/)
2858. [**Using a Dependency Parser to Improve SMT for Subject-Object-Verb Languages**Peng Xu, Jaeho Kang, Michael Ringgaard, et al.*2009 · 180 citations*](https://md.research.elamur.ai/free/en/papers/xu-2009-dependency-parser-improve-smt-subject/)
2859. [**Looking for Candidate Translational Equivalents in Specialized, Comparable Corpora**Yun-Chuang Chiao, Pierre Zweigenbaum*2002 · 180 citations*](https://md.research.elamur.ai/free/en/papers/chiao-2002-looking-candidate-translational-equivalents-specialized/)
2860. [**An Algebra for Semantic Construction in Constraint-based Grammars**Ann Copestake, Alex Lascarides, Dan Flickinger*2001 · 180 citations*](https://md.research.elamur.ai/free/en/papers/copestake-2001-algebra-semantic-construction-constraint-based/)
2861. [**Classifying the Semantic Relations in Noun Compounds via a Domain-Specific Lexical Hierarchy**Barbara Rosario, Marti Hearst*2001 · 180 citations*](https://md.research.elamur.ai/free/en/papers/rosario-2001-classifying-semantic-relations-noun-compounds/)
2862. [**Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation**Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.*2025 · 179 citations*](https://md.research.elamur.ai/free/en/papers/singh-2025-global-mmlu-understanding-addressing-cultural/)
2863. [**Knowledge Conflicts for LLMs: A Survey**Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.*2024 · 179 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/)
2864. [**Adapting Language Models to Compress Contexts**Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.*2023 · 179 citations*](https://md.research.elamur.ai/free/en/papers/chevalier-2023-adapting-language-models-compress-contexts/)
2865. [**Eliciting Latent Predictions from Transformers with the Tuned Lens**Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.*2023 · 179 citations*](https://md.research.elamur.ai/free/en/papers/belrose-2023-eliciting-latent-predictions-transformers-tuned/)
2866. [**Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again**Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.*2022 · 179 citations*](https://md.research.elamur.ai/free/en/papers/gutierrez-2022-thinking-about-gpt-3-context/)
2867. [**It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution**Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, et al.*2019 · 179 citations*](https://md.research.elamur.ai/free/en/papers/maudslay-2019-it-s-all-name-mitigating/)
2868. [**Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering**Asma Ben Abacha, Chaitanya Shivade, Dina Demner-Fushman*2019 · 179 citations*](https://md.research.elamur.ai/free/en/papers/abacha-2019-overview-mediqa-2019-shared-task/)
2869. [**Learning part-of-speech taggers with inter-annotator agreement loss**Barbara Plank, Dirk Hovy, Anders Søgaard*2014 · 179 citations*](https://md.research.elamur.ai/free/en/papers/plank-2014-learning-part-speech-taggers-inter/)
2870. [**Analyzing and Integrating Dependency Parsers**Ryan McDonald, Joakim Nivre*2011 · 179 citations*](https://md.research.elamur.ai/free/en/papers/mcdonald-2011-analyzing-integrating-dependency-parsers/)
2871. [**A Discriminative Latent Variable Model for Statistical Machine Translation**Phil Blunsom, Trevor Cohn, Miles Osborne*2008 · 179 citations*](https://md.research.elamur.ai/free/en/papers/blunsom-2008-discriminative-latent-variable-model-statistical/)
2872. [**Evaluating Large Language Models: A Comprehensive Survey**Zishan Guo, Renren Jin, Chuang Liu, et al.*2023 · 178 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-evaluating-large-language-models-comprehensive/)
2873. [**The False Promise of Imitating Proprietary LLMs**Arnav Gudibande, Eric Wallace, Charlie Snell, et al.*2023 · 178 citations*](https://md.research.elamur.ai/free/en/papers/gudibande-2023-false-promise-imitating-proprietary-llms/)
2874. [**An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels**Taylor Sorensen, Joshua Robinson, Christopher Rytting, et al.*2022 · 178 citations*](https://md.research.elamur.ai/free/en/papers/sorensen-2022-information-theoretic-approach-prompt-engineering/)
2875. [**Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language Models**Nora Kassner, Philipp Dufter, Hinrich Schütze*2021 · 178 citations*](https://md.research.elamur.ai/free/en/papers/kassner-2021-multilingual-lama-investigating-knowledge-multilingual/)
2876. [**The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task**Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, et al.*2021 · 178 citations*](https://md.research.elamur.ai/free/en/papers/aly-2021-fact-extraction-verification-over-unstructured/)
2877. [**Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information**Zehui Lin, Xiao Pan, Mingxuan Wang, et al.*2020 · 178 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-pre-training-multilingual-neural-machine/)
2878. [**Deep RNNs Encode Soft Hierarchical Syntax**Terra Blevins, Omer Levy, Luke Zettlemoyer*2018 · 178 citations*](https://md.research.elamur.ai/free/en/papers/blevins-2018-deep-rnns-encode-soft-hierarchical/)
2879. [**Integrating Transformer and Paraphrase Rules for Sentence Simplification**Sanqiang Zhao, Rui Meng, Daqing He, et al.*2018 · 178 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-integrating-transformer-paraphrase-rules-sentence/)
2880. [**What Makes Reading Comprehension Questions Easier?**Saku Sugawara, Kentaro Inui, Satoshi Sekine, et al.*2018 · 178 citations*](https://md.research.elamur.ai/free/en/papers/sugawara-2018-what-makes-reading-comprehension-questions/)
2881. [**Learning To Use Formulas To Solve Simple Arithmetic Problems**Arindam Mitra, Chitta Baral*2016 · 178 citations*](https://md.research.elamur.ai/free/en/papers/mitra-2016-learning-use-formulas-solve-simple/)
2882. [**Forest-based Translation Rule Extraction**Haitao Mi, Liang Huang*2008 · 178 citations*](https://md.research.elamur.ai/free/en/papers/mi-2008-forest-based-translation-rule-extraction/)
2883. [**Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/)
2884. [**Investigating Cultural Alignment of Large Language Models**Badr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-investigating-cultural-alignment-large-language/)
2885. [**Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization**Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/tseng-2024-two-tales-persona-llms-survey/)
2886. [**Effective Long-Context Scaling of Foundation Models**Wenhan Xiong, Jingyu Liu, Igor Molybog, et al.*2023 · 177 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2023-effective-long-context-scaling-foundation/)
2887. [**On the Risk of Misinformation Pollution with Large Language Models**Yikang Pan, Liangming Pan, Wenhu Chen, et al.*2023 · 177 citations*](https://md.research.elamur.ai/free/en/papers/pan-2023-risk-misinformation-pollution-large-language/)
2888. [**ToolQA: A Dataset for LLM Question Answering with External Tools**Yuchen Zhuang, Yue Yu, Kuan Wang, et al.*2023 · 177 citations*](https://md.research.elamur.ai/free/en/papers/zhuang-2023-toolqa-dataset-llm-question-answering/)
2889. [**Findings of the IWSLT 2022 Evaluation Campaign**Antonios Anastasopoulos, Loïc Barrault, Luisa Bentivogli, et al.*2022 · 177 citations*](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2022-findings-iwslt-2022-evaluation-campaign/)
2890. [**LILA: A Unified Benchmark for Mathematical Reasoning**Swaroop Mishra, Matthew Finlayson, Pan Lu, et al.*2022 · 177 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2022-lila-unified-benchmark-mathematical-reasoning/)
2891. [**ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts**Yuta Koreeda, Christopher Manning*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/koreeda-2021-contractnli-dataset-document-level-natural/)
2892. [**Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP**Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/)
2893. [**Generalized Data Augmentation for Low-Resource Translation**Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, et al.*2019 · 177 citations*](https://md.research.elamur.ai/free/en/papers/xia-2019-generalized-data-augmentation-low-resource/)
2894. [**Results of the WMT16 Metrics Shared Task**Ondřej Bojar, Yvette Graham, Amir Kamran, et al.*2016 · 177 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-results-wmt16-metrics-shared-task/)
2895. [**DBpedia: A Multilingual Cross-domain Knowledge Base**Pablo Mendes, Max Jakob, Christian Bizer*2012 · 177 citations*](https://md.research.elamur.ai/free/en/papers/mendes-2012-dbpedia-multilingual-cross-domain-knowledge/)
2896. [**Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction**Shay B. Cohen, Noah A. Smith*2009 · 177 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2009-shared-logistic-normal-distributions-soft/)
2897. [**Discourse Relations and Defeasible Knowledge**Alex Lascarides, Nicholas Asher*1991 · 177 citations*](https://md.research.elamur.ai/free/en/papers/lascarides-1991-discourse-relations-defeasible-knowledge/)
2898. [**CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers**Wenyi Hong, Ming Ding, Wendi Zheng, et al.*2022 · 176 citations*](https://md.research.elamur.ai/free/en/papers/hong-2022-cogvideo-large-scale-pretraining/)
2899. [**RealTime QA: What's the Answer Right Now?**Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.*2022 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kasai-2022-realtime-qa-s-answer-right/)
2900. [**What Artificial Neural Networks Can Tell Us About Human Language Acquisition**Alex Warstadt, Samuel R. Bowman*2022 · 176 citations*](https://md.research.elamur.ai/free/en/papers/warstadt-2022-artificial-neural-networks-tell-us/)
2901. [**Non-Autoregressive Machine Translation with Latent Alignments**Chitwan Saharia, William Chan, Saurabh Saxena, et al.*2020 · 176 citations*](https://md.research.elamur.ai/free/en/papers/saharia-2020-non-autoregressive-machine-translation-latent/)
2902. [**AudioCaps: Generating Captions for Audios in The Wild**Chris Dongjoo Kim, Byeongchang Kim, Hyunmin Lee, et al.*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kim-2019-audiocaps-generating-captions-audios-wild/)
2903. [**Coreference Resolution with Entity Equalization**Ben Kantor, Amir Globerson*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/kantor-2019-coreference-resolution-entity-equalization/)
2904. [**Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs**Alex Warstadt, Yu Cao, Ioana Grosu, et al.*2019 · 176 citations*](https://md.research.elamur.ai/free/en/papers/warstadt-2019-investigating-bert-s-knowledge-language/)
2905. [**Multi-Domain Neural Machine Translation through Unsupervised Adaptation**M. Amin Farajian, Marco Turchi, Matteo Negri, et al.*2017 · 176 citations*](https://md.research.elamur.ai/free/en/papers/farajian-2017-multi-domain-neural-machine-translation/)
2906. [**SemEval-2017 Task 12: Clinical TempEval**Steven Bethard, Guergana Savova, Martha Palmer, et al.*2017 · 176 citations*](https://md.research.elamur.ai/free/en/papers/bethard-2017-semeval-2017-task-12-clinical/)
2907. [**A Multidialectal Parallel Corpus of Arabic**Houda Bouamor, Nizar Habash, Kemal Oflazer*2014 · 176 citations*](https://md.research.elamur.ai/free/en/papers/bouamor-2014-multidialectal-parallel-corpus-arabic/)
2908. [**Results of the WMT14 Metrics Shared Task**Matouš Macháček, Ondřej Bojar*2014 · 176 citations*](https://md.research.elamur.ai/free/en/papers/machacek-2014-results-wmt14-metrics-shared-task/)
2909. [**Developing a large semantically annotated corpus**Valerio Basile, Johan Bos, Kilian Evang, et al.*2012 · 176 citations*](https://md.research.elamur.ai/free/en/papers/basile-2012-developing-large-semantically-annotated-corpus/)
2910. [**Supersense Tagging of Unknown Nouns in WordNet**Massimiliano Ciaramita, Mark Johnson*2003 · 176 citations*](https://md.research.elamur.ai/free/en/papers/ciaramita-2003-supersense-tagging-unknown-nouns-wordnet/)
2911. [**UNKs Everywhere: Adapting Multilingual Language Models to New Scripts**Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al.*2021 · 175 citations*](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/)
2912. [**Translation Artifacts in Cross-lingual Transfer Learning**Mikel Artetxe, Gorka Labaka, Eneko Agirre*2020 · 175 citations*](https://md.research.elamur.ai/free/en/papers/artetxe-2020-translation-artifacts-cross-lingual-transfer/)
2913. [**BillSum: A Corpus for Automatic Summarization of US Legislation**Anastassia Kornilova, Vladimir Eidelman*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/kornilova-2019-billsum-corpus-automatic-summarization-us/)
2914. [**Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions**Rui Zhang, Tao Yu, Heyang Er, et al.*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-editing-based-sql-query-generation/)
2915. [**Investigating Multilingual NMT Representations at Scale**Sneha Kudugunta, Ankur Bapna, Isaac Caswell, et al.*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/kudugunta-2019-investigating-multilingual-nmt-representations-scale/)
2916. [**Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control**Mo Yu, Shiyu Chang, Yang Zhang, et al.*2019 · 175 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-rethinking-cooperative-rationalization-introspective-extraction/)
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