--- title: "Natural language processing — papers, page 42" description: "Natural language processing: 2421 papers of the Elamur Research library · page 42 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/42/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/42/) [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 42 # 💬 Natural language processing 2421 papers · page 42 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/41/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [41](https://md.research.elamur.ai/free/en/shelves/nlp/page/41/) **42** [43](https://md.research.elamur.ai/free/en/shelves/nlp/page/43/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/43/) - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [Quantifying Attention Flow in Transformers](https://md.research.elamur.ai/free/en/papers/abnar-2020-quantifying-attention-flow-transformers/) — Samira Abnar, Willem Zuidema · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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 · 2020 - [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 · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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 · 2020 - [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. · 2020 - [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. · 2020 - [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. · 2020 - [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 · 2020 - [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. · 2020 - [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 · 2020 - [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 · 2020 - [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. · 2020 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/41/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [41](https://md.research.elamur.ai/free/en/shelves/nlp/page/41/) **42** [43](https://md.research.elamur.ai/free/en/shelves/nlp/page/43/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/43/)