--- title: "Natural language processing — papers, page 43" description: "Natural language processing: 2421 papers of the Elamur Research library · page 43 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/43/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/43/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) / page 43 # 💬 Natural language processing 2421 papers · page 43 of 97 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Computational linguistics from the ACL Anthology and arXiv: language models, information extraction, dialogue, evaluation. [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/42/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [42](https://md.research.elamur.ai/free/en/shelves/nlp/page/42/) **43** [44](https://md.research.elamur.ai/free/en/shelves/nlp/page/44/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/44/) - [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. · 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. · 2020 - [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. · 2020 - [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. · 2020 - [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 · 2020 - [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 · 2020 - [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 · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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 · 2020 - [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. · 2020 - [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. · 2020 - [Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference](https://md.research.elamur.ai/free/en/papers/acl-2020-kitaev-tetra-tagging-word-synchronous-parsing/) — Nikita Kitaev, Dan Klein · 2020 - [Text Classification Using Label Names Only: A Language Model Self-Training Approach](https://md.research.elamur.ai/free/en/papers/meng-2020-text-classification-label-names-only/) — Yu Meng, Yunyi Zhang, Jiaxin Huang, et al. · 2020 - [The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)](https://md.research.elamur.ai/free/en/papers/ferreira-2020-2020-bilingual-bi-directional-webnlg/) — Thiago Castro Ferreira, Claire Gardent, Nikolai Ilinykh, et al. · 2020 - [The Multilingual Amazon Reviews Corpus](https://md.research.elamur.ai/free/en/papers/keung-2020-multilingual-amazon-reviews-corpus/) — Phillip Keung, Yichao Lu, György Szarvas, et al. · 2020 - [The SADID Evaluation Datasets for Low-Resource Spoken Language Machine Translation of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/abid-2020-sadid-evaluation-datasets-low-resource/) — Wael Abid · 2020 - [TICO-19: the Translation Initiative for COvid-19](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2020-tico-19-translation-initiative-covid/) — Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, et al. · 2020 - [TLDR: Extreme Summarization of Scientific Documents](https://md.research.elamur.ai/free/en/papers/cachola-2020-tldr-extreme-summarization-scientific-documents/) — Isabel Cachola, Kyle Lo, Arman Cohan, et al. · 2020 - [TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/) — Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al. · 2020 - [Topic Modeling in Embedding Spaces](https://md.research.elamur.ai/free/en/papers/dieng-2020-topic-modeling-embedding-spaces/) — Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei · 2020 - [ToTTo: A Controlled Table-To-Text Generation Dataset](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/) — Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al. · 2020 - [Towards Controllable Biases in Language Generation](https://md.research.elamur.ai/free/en/papers/sheng-2020-controllable-biases-language-generation/) — Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al. · 2020 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/42/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [42](https://md.research.elamur.ai/free/en/shelves/nlp/page/42/) **43** [44](https://md.research.elamur.ai/free/en/shelves/nlp/page/44/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/44/)