--- title: "Papers of 2020 — page 5" description: "Papers of 2020: 596 papers of the Elamur Research library — what each work is about in our own words, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/papers/2020/page/5/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/2020/page/5/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / 2020 # Papers of 2020 — page 5 596 papers · [all years](https://md.research.elamur.ai/free/en/papers/) [← prev](https://md.research.elamur.ai/free/en/papers/2020/page/4/) [1](https://md.research.elamur.ai/free/en/papers/2020/) … [4](https://md.research.elamur.ai/free/en/papers/2020/page/4/) **5** [6](https://md.research.elamur.ai/free/en/papers/2020/page/6/) [next →](https://md.research.elamur.ai/free/en/papers/2020/page/6/) - [Pre-trained Models for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/) — Xipeng Qiu, Tianxiang Sun, Yige Xu, et al. · arXiv:2003.08271 · SCIENCE CHINA Technological… - [Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information](https://md.research.elamur.ai/free/en/papers/lin-2020-pre-training-multilingual-neural-machine/) — Zehui Lin, Xiao Pan, Mingxuan Wang, et al. · Proceedings of the 2020 Conference on Empirical… - [Pre-training via Paraphrasing](https://md.research.elamur.ai/free/en/papers/lewis-2020-pre-training-paraphrasing/) — Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al. · arXiv:2006.15020 - [Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/) — Patrick Lewis, Myle Ott, Jingfei Du, et al. · Proceedings of the 3rd Clinical Natural… - [Pretrained Transformers Improve Out-of-Distribution Robustness](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/) — Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al. · arXiv:2004.06100 - [Probing Pretrained Language Models for Lexical Semantics](https://md.research.elamur.ai/free/en/papers/vulic-2020-probing-pretrained-language-models-lexical/) — Ivan Vulić, Edoardo Maria Ponti, Robert Litschko, et al. · Proceedings of the 2020 Conference on Empirical… - [Problematic Terminology of the Manna Pericope (Exod 16:14-15) in the Light of Medieval Jewish Commentators and Biblical Hebrew Philology](https://md.research.elamur.ai/free/en/papers/dihi-2020-problematic-terminology-manna-pericope-exod/) — Haim Dihi · Old Testament Essays 33 - [Proceedings of the የአማርኛ ቋንቋ ትምህርት አሰጣጥ በጀርመን አገር—ዓውደጥናት/Workshop: Amharisch Unterrichten in Deutschland/Workshop on the Teaching of Amharic in Germany 1–2 February 2018, Hiob-Ludolf-Zentrum für Äthiopistik, Asien-Afrika-Institut,Hamburg](https://md.research.elamur.ai/free/en/papers/krzyzanowska-2020-proceedings-workshop-amharisch-unterrichten-deutschland/) — Magdalena Krzyżanowska · Aethiopica 22 - [ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training](https://md.research.elamur.ai/free/en/papers/qi-2020-prophetnet-predicting-future-n-gram/) — Weizhen Qi, Yu Yan, Yeyun Gong, et al. · Findings of the Association for Computational… - [pyBART: Evidence-based Syntactic Transformations for IE](https://md.research.elamur.ai/free/en/papers/ud-2020-tiktinsky-pybart-evidence-based-syntactic-transformations/) — Aryeh Tiktinsky, Yoav Goldberg, Reut Tsarfaty · English - [PySBD: Pragmatic Sentence Boundary Disambiguation](https://md.research.elamur.ai/free/en/papers/sadvilkar-2020-pysbd-pragmatic-sentence-boundary-disambiguation/) — Nipun Sadvilkar, Mark Neumann · Proceedings of Second Workshop for NLP Open… - [PyTorch Distributed: Experiences on Accelerating Data Parallel Training](https://md.research.elamur.ai/free/en/papers/li-2020-pytorch-distributed-experiences-accelerating-data/) — Shen Li, Yanli Zhao, Rohan Varma, et al. · arXiv:2006.15704 - [QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines](https://md.research.elamur.ai/free/en/papers/pyatkin-2020-qadiscourse-discourse-relations-as-qa/) — Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, et al. · Proceedings of the 2020 Conference on Empirical… - [QANom: Question-Answer driven SRL for Nominalizations](https://md.research.elamur.ai/free/en/papers/klein-2020-qanom-question-answer-driven-srl/) — Ayal Klein, Jonathan Mamou, Valentina Pyatkin, et al. · English - [Quantifying Attention Flow in Transformers](https://md.research.elamur.ai/free/en/papers/abnar-2020-quantifying-attention-flow-transformers/) — Samira Abnar, Willem Zuidema · Proceedings of the 58th Annual Meeting of the… - [Quantitative Linguistic Investigations across Universal Dependencies Treebanks](https://md.research.elamur.ai/free/en/papers/alzetta-2020-quantitative-linguistic-investigations-across-universal/) — Chiara Alzetta, Felice Dell'Orletta, Simonetta Montemagni, et al. · Proceedings of the Seventh Italian Conference… - [Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/) — Emily Dinan, Angela Fan, Adina Williams, et al. · Proceedings of the 2020 Conference on Empirical… - [Question Identification in Arabic Language Using Emotional Based Features](https://md.research.elamur.ai/free/en/papers/ramzy-2020-question-identification-arabic-language-using/) — Ahmed Ramzy, Ahmed Elazab · arXiv:2008.03843 - [Quranic Studies Made in Austria: Approaching Quantitative Arabic Linguistics](https://md.research.elamur.ai/free/en/papers/elmaz-2020-quranic-studies-made-austria-approaching/) — Orhan Elmaz · مجلة كلية الشريعة والدراسات الإسلامية 38 - [R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge](https://md.research.elamur.ai/free/en/papers/chakrabarty-2020-r-textasciicircum3-reverse-retrieve-rank/) — Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al. · Proceedings of the 58th Annual Meeting of the… - [Re-evaluating Evaluation in Text Summarization](https://md.research.elamur.ai/free/en/papers/bhandari-2020-re-evaluating-evaluation-text-summarization/) — Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al. · Proceedings of the 2020 Conference on Empirical… - [Reactive Supervision: A New Method for Collecting Sarcasm Data](https://md.research.elamur.ai/free/en/papers/shmueli-2020-reactive-supervision-new-method-collecting/) — Boaz Shmueli, Lun-Wei Ku, Soumya Ray · Proceedings of the 2020 Conference on Empirical… - [Real-Valued Logics for Typological Universals: Framework and Application](https://md.research.elamur.ai/free/en/papers/donicke-2020-real-valued-logics-typological-universals/) — Tillmann Dönicke, Xiang Yu, Jonas Kuhn · Proceedings of the 28th International… - [RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models](https://md.research.elamur.ai/free/en/papers/gehman-2020-realtoxicityprompts-evaluating-neural-toxic-degeneration/) — Samuel Gehman, Suchin Gururangan, Maarten Sap, et al. · Findings of the Association for Computational… - [Reasoning Over Semantic-Level Graph for Fact Checking](https://md.research.elamur.ai/free/en/papers/zhong-2020-reasoning-over-semantic-level-graph/) — Wanjun Zhong, Jingjing Xu, Duyu Tang, et al. · Proceedings of the 58th Annual Meeting of the… - [Reasoning Requirements for Indirect Speech Act Interpretation](https://md.research.elamur.ai/free/en/papers/sarathy-2020-reasoning-requirements-indirect-speech-act/) — Vasanth Sarathy, Alexander Tsuetaki, Antonio Roque, et al. · English - [Reasoning with Latent Structure Refinement for Document-Level Relation Extraction](https://md.research.elamur.ai/free/en/papers/nan-2020-reasoning-latent-structure-refinement-document/) — Guoshun Nan, Zhijiang Guo, Ivan Sekulic, et al. · Proceedings of the 58th Annual Meeting of the… - [Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association](https://md.research.elamur.ai/free/en/papers/xu-2020-reasoning-multimodal-sarcastic-tweets-modeling/) — Nan Xu, Zhixiong Zeng, Wenji Mao · Proceedings of the 58th Annual Meeting of the… - [ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2020-reclor-reading-comprehension-dataset-requiring/) — Weihao Yu, Zihang Jiang, Yanfei Dong, et al. · arXiv:2002.04326 - [Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem](https://md.research.elamur.ai/free/en/papers/saunders-2020-reducing-gender-bias-neural-machine/) — Danielle Saunders, Bill Byrne · Proceedings of the 58th Annual Meeting of the… - [Reformer: The Efficient Transformer](https://md.research.elamur.ai/free/en/papers/kitaev-2020-reformer-efficient-transformer/) — Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya · arXiv:2001.04451 - [Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) — Kalpesh Krishna, John Wieting, Mohit Iyyer · Machine translation - [Relational Graph Attention Network for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2020-relational-graph-attention-network-aspect/) — Kai Wang, Weizhou Shen, Yunyi Yang, et al. · Proceedings of the 58th Annual Meeting of the… - [Relevance of the Arabic Grammar Tradition to Modern Linguistics: A Case Study of Subjunctive Mood](https://md.research.elamur.ai/free/en/papers/valipoor-2020-relevance-arabic-grammar-tradition-modern/) — Mona Valipoor · ̒Ilm-i Zabān 7 - [Reliance on Predicative Units as a Method of Analysing and Translating Amharic Written Texts](https://md.research.elamur.ai/free/en/papers/fridman-2020-reliance-predicative-units-method-analysing/) — Iosif Fridman · Aethiopica 22 - [Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/langstream-2020-fetaya-restoration-fragmentary-babylonian-texts-using/) — Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, et al. · Semitic languages - [Results of the WMT20 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/mathur-2020-results-wmt20-metrics-shared-task/) — Nitika Mathur, Johnny Wei, Markus Freitag, et al. · Proceedings of the Fifth Conference on Machine… - [Resumption as a sluicing source in Saudi Arabic: Evidence from sluicing with prepositional phrases](https://md.research.elamur.ai/free/en/papers/alshaalan-2020-resumption-as-sluicing-source-saudi/) — Yara Alshaalan, Klaus Abels · Glossa: a journal of general linguistics - [Rethinking embedding coupling in pre-trained language models](https://md.research.elamur.ai/free/en/papers/chung-2020-rethinking-embedding-coupling-pre-trained/) — Hyung Won Chung, Thibault Févry, Henry Tsai, et al. · arXiv:2010.12821 - [Revealing the Myth of Higher-Order Inference in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/xu-2020-revealing-myth-higher-order-inference/) — Liyan Xu, Jinho D. Choi · Proceedings of the 2020 Conference on Empirical… - [Revisiting Few-sample BERT Fine-tuning](https://md.research.elamur.ai/free/en/papers/zhang-2020-revisiting-few-sample-bert-fine/) — Tianyi Zhang, Felix Wu, Arzoo Katiyar, et al. · arXiv:2006.05987 - [Revisiting Pre-Trained Models for Chinese Natural Language Processing](https://md.research.elamur.ai/free/en/papers/cui-2020-revisiting-pre-trained-models-chinese/) — Yiming Cui, Wanxiang Che, Ting Liu, et al. · arXiv:2004.13922 - [RobBERT: a Dutch RoBERTa-based Language Model](https://md.research.elamur.ai/free/en/papers/delobelle-2020-robbert-dutch-roberta-based-language/) — Pieter Delobelle, Thomas Winters, Bettina Berendt · arXiv:2001.06286 - [RobertNLP at the IWPT 2020 Shared Task: Surprisingly Simple Enhanced UD Parsing for English](https://md.research.elamur.ai/free/en/papers/ud-2020-grunewald-robertnlp-iwpt-2020-shared-task/) — Stefan Grünewald, Annemarie Friedrich · English - [SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/husain-2020-salamnet-semeval-2020-task12-deep/) — Fatemah Husain; Jooyeon Lee; Samuel Henry;, Ozlem Uzuner · arXiv:2007.13974 - [Sarcasm Detection using Context Separators in Online Discourse](https://md.research.elamur.ai/free/en/papers/dadu-2020-sarcasm-detection-context-separators-online/) — Tanvi Dadu, Kartikey Pant · Proceedings of the Second Workshop on… - [Sarcasm Identification and Detection in Conversion Context using BERT](https://md.research.elamur.ai/free/en/papers/a-2020-sarcasm-identification-detection-conversion-context/) — Kalaivani A., Thenmozhi D. · Proceedings of the Second Workshop on… - [Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/) — Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al. · Proceedings of the 2020 Conference on Empirical… - [Scalable Zero-shot Entity Linking with Dense Entity Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2020-scalable-zero-shot-entity-linking/) — Ledell Wu, Fabio Petroni, Martin Josifoski, et al. · Proceedings of the 2020 Conference on Empirical… - [SciREX: A Challenge Dataset for Document-Level Information Extraction](https://md.research.elamur.ai/free/en/papers/jain-2020-scirex-challenge-dataset-document-level/) — Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi, et al. · Proceedings of the 58th Annual Meeting of the… - [Score-Based Generative Modeling through Stochastic Differential Equations](https://md.research.elamur.ai/free/en/papers/song-2020-score-based-generative-modeling-through/) — Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, et al. · arXiv:2011.13456 - [Semantic differences in translation: Exploring the field of inchoativity](https://md.research.elamur.ai/free/en/papers/vandevoorde-2020-semantic-differences-translation-exploring/) — Lore Vandevoorde · Machine translation - [Semantic Role Labeling as Syntactic Dependency Parsing](https://md.research.elamur.ai/free/en/papers/shi-2020-semantic-role-labeling-as-syntactic/) — Tianze Shi, Igor Malioutov, Ozan Irsoy · English - [SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles](https://md.research.elamur.ai/free/en/papers/martino-2020-semeval-2020-task-11-detection/) — Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, et al. · Proceedings of the Fourteenth Workshop on… - [SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection](https://md.research.elamur.ai/free/en/papers/schlechtweg-2020-semeval-2020-task-1-unsupervised/) — Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, et al. · Proceedings of the Fourteenth Workshop on… - [SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!](https://md.research.elamur.ai/free/en/papers/sharma-2020-semeval-2020-task-8-memotion/) — Chhavi Sharma, Deepesh Bhageria, William Scott, et al. · Proceedings of the Fourteenth Workshop on… - [SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets](https://md.research.elamur.ai/free/en/papers/patwa-2020-semeval-2020-task-9-overview/) — Parth Patwa, Gustavo Aguilar, Sudipta Kar, et al. · Proceedings of the Fourteenth Workshop on… - [Semi-supervised Contextual Historical Text Normalization](https://md.research.elamur.ai/free/en/papers/acl-2020-makarov-semi-supervised-contextual-historical-text/) — Peter Makarov, Simon Clematide · English - [SenseBERT: Driving Some Sense into BERT](https://md.research.elamur.ai/free/en/papers/levine-2020-sensebert-driving-some-sense-into/) — Yoav Levine, Barak Lenz, Or Dagan, et al. · Proceedings of the 58th Annual Meeting of the… - [Sentence Boundary Detection on Line Breaks in Japanese](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-hayashibe-sentence-boundary-detection-line-breaks/) — Yuta Hayashibe, Kensuke Mitsuzawa · English - [Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis](https://md.research.elamur.ai/free/en/papers/chauhan-2020-sentiment-emotion-help-sarcasm-multi/) — Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al. · Proceedings of the 58th Annual Meeting of the… - [Shallow Discourse Parsing for Under-Resourced Languages: Combining Machine Translation and Annotation Projection](https://md.research.elamur.ai/free/en/papers/gathje-2020-shallow-discourse-parsing-under-resourced/) — Henny Sluyter-Gäthje, Peter Bourgonje, Manfred Stede · Proceedings of the Twelfth Language Resources… - [Shape of Synth to Come: Why We Should Use Synthetic Data for English Surface Realization](https://md.research.elamur.ai/free/en/papers/elder-2020-shape-synth-come-why-we/) — Henry Elder, Robert Burke, Alexander O'Connor, et al. · English - [Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning](https://md.research.elamur.ai/free/en/papers/yang-2020-simple-effective-few-shot-named/) — Yi Yang, Arzoo Katiyar · Proceedings of the 2020 Conference on Empirical… - [SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation](https://md.research.elamur.ai/free/en/papers/ma-2020-simuleval-evaluation-toolkit-simultaneous-translation/) — Xutai Ma, Mohammad Javad Dousti, Changhan Wang, et al. · Proceedings of the 2020 Conference on Empirical… - [SLURP: A Spoken Language Understanding Resource Package](https://md.research.elamur.ai/free/en/papers/bastianelli-2020-slurp-spoken-language-understanding-resource/) — Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, et al. · Proceedings of the 2020 Conference on Empirical… - [SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization](https://md.research.elamur.ai/free/en/papers/jiang-2020-smart-robust-efficient-fine-tuning/) — Haoming Jiang, Pengcheng He, Weizhu Chen, et al. · Proceedings of the 58th Annual Meeting of the… - [Smartajweed Automatic Recognition of Arabic Quranic Recitation Rules](https://md.research.elamur.ai/free/en/papers/alagrami-2020-smartajweed-automatic-recognition-arabic-quranic/) — Ali M. Alagrami, Maged M. Eljazzar · arXiv:2101.04200 · airccse 2020 - [Social Bias Frames: Reasoning about Social and Power Implications of Language](https://md.research.elamur.ai/free/en/papers/sap-2020-social-bias-frames-reasoning-about/) — Maarten Sap, Saadia Gabriel, Lianhui Qin, et al. · Proceedings of the 58th Annual Meeting of the… - [Social Biases in NLP Models as Barriers for Persons with Disabilities](https://md.research.elamur.ai/free/en/papers/hutchinson-2020-social-biases-nlp-models-as/) — Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, et al. · Proceedings of the 58th Annual Meeting of the… - [Some Brief Remarks on Teaching Amharic: A Personal View](https://md.research.elamur.ai/free/en/papers/bausi-2020-some-brief-remarks-teaching-amharic/) — Alessandro Bausi · Aethiopica 22 - [Speaker-change Aware CRF for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/shang-2020-speaker-change-aware-crf-dialogue/) — Guokan Shang, Antoine Tixier, Michalis Vazirgiannis, et al. · Proceedings of the 28th International… - [SPECTER: Document-level Representation Learning using Citation-informed Transformers](https://md.research.elamur.ai/free/en/papers/cohan-2020-specter-document-level-representation-learning/) — Arman Cohan, Sergey Feldman, Iz Beltagy, et al. · Proceedings of the 58th Annual Meeting of the… - [STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval](https://md.research.elamur.ai/free/en/papers/conforti-2020-stander-expert-annotated-dataset-news/) — Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al. · Findings of the Association for Computational… - [Stanza: A Python Natural Language Processing Toolkit for Many Human Languages](https://md.research.elamur.ai/free/en/papers/ud-2020-qi-stanza-python-natural-language-processing/) — Peng Qi, Yuhao Zhang, Yuhui Zhang, et al. · English - [STARC: Structured Annotations for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/berzak-2020-starc-structured-annotations-reading-comprehension/) — Yevgeni Berzak, Jonathan Malmaud, Roger Levy · English - [Statistical Power and Translationese in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/) — Yvette Graham, Barry Haddow, Philipp Koehn · Proceedings of the 2020 Conference on Empirical… - [Structured Pruning of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2020-structured-pruning-large-language-models/) — Ziheng Wang, Jeremy Wohlwend, Tao Lei · Proceedings of the 2020 Conference on Empirical… - [Studies in Rabbinic Hebrew](https://md.research.elamur.ai/free/en/papers/hbobook-obp0164-heijmans-studies-rabbinic-hebrew/) — Shai Heijmans · Ancient Hebrew - [Studies in Semitic Vocalisation and Reading Traditions](https://md.research.elamur.ai/free/en/papers/hbobook-obp0207-hornkohl-studies-semitic-vocalisation-reading-traditions/) — Aaron D. Hornkohl, Geoffrey Khan · Ancient Hebrew - [Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning](https://md.research.elamur.ai/free/en/papers/gunel-2020-supervised-contrastive-learning-pre-trained/) — Beliz Gunel, Jingfei Du, Alexis Conneau, et al. · arXiv:2011.01403 - [Syntactic Data Augmentation Increases Robustness to Inference Heuristics](https://md.research.elamur.ai/free/en/papers/min-2020-syntactic-data-augmentation-increases-robustness/) — Junghyun Min, R. Thomas McCoy, Dipanjan Das, et al. · Proceedings of the 58th Annual Meeting of the… - [Syntax-Guided Controlled Generation of Paraphrases](https://md.research.elamur.ai/free/en/papers/kumar-2020-syntax-guided-controlled-generation-paraphrases/) — Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, et al. · Transactions of the Association for… - [SyntaxGym: An Online Platform for Targeted Evaluation of Language Models](https://md.research.elamur.ai/free/en/papers/gauthier-2020-syntaxgym-online-platform-targeted-evaluation/) — Jon Gauthier, Jennifer Hu, Ethan Wilcox, et al. · Proceedings of the 58th Annual Meeting of the… - [Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?](https://md.research.elamur.ai/free/en/papers/dekker-2020-synthetic-data-english-lexical-normalization/) — Kelly Dekker, Rob van der Goot · English - [TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data](https://md.research.elamur.ai/free/en/papers/yin-2020-tabert-pretraining-joint-understanding-textual/) — Pengcheng Yin, Graham Neubig, Wen-tau Yih, et al. · Proceedings of the 58th Annual Meeting of the… - [TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task](https://md.research.elamur.ai/free/en/papers/alt-2020-tacred-revisited-thorough-evaluation-tacred/) — Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig · Proceedings of the 58th Annual Meeting of the… - [Taking the Correction Difficulty into Account in Grammatical Error Correction Evaluation](https://md.research.elamur.ai/free/en/papers/gotou-2020-taking-correction-difficulty-into-account/) — Takumi Gotou, Ryo Nagata, Masato Mita, et al. · Proceedings of the 28th International… - [Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics](https://md.research.elamur.ai/free/en/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/) — Nitika Mathur, Timothy Baldwin, Trevor Cohn · Machine translation - [TaPas: Weakly Supervised Table Parsing via Pre-training](https://md.research.elamur.ai/free/en/papers/herzig-2020-tapas-weakly-supervised-table-parsing/) — Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, et al. · Proceedings of the 58th Annual Meeting of the… - [TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus](https://md.research.elamur.ai/free/en/papers/gugliotta-2020-tarc-incrementally-semi-automatically-collecting/) — Elisa Gugliotta, Marco Dinarelli · Proceedings of the Twelfth Language Resources… - [Task-Oriented Dialogue as Dataflow Synthesis](https://md.research.elamur.ai/free/en/papers/andreas-2020-task-oriented-dialogue-as-dataflow/) — Jacob Andreas, John Bufe, David Burkett, et al. · Transactions of the Association for… - [TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks](https://md.research.elamur.ai/free/en/papers/long-2020-ted-cdb-large-scale-chinese/) — Wanqiu Long, Bonnie Webber, Deyi Xiong · Proceedings of the 2020 Conference on Empirical… - [Temporal Reasoning in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/) — Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al. · English - [Tensors over Semirings for Latent-Variable Weighted Logic Programs](https://md.research.elamur.ai/free/en/papers/balkir-2020-tensors-over-semirings-latent-variable/) — Esma Balkir, Daniel Gildea, Shay B. 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