--- title: "Natural language processing — papers, page 31" description: "Natural language processing: 2421 papers of the Elamur Research library · page 31 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/31/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/31/) [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 31 # 💬 Natural language processing 2421 papers · page 31 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/30/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [30](https://md.research.elamur.ai/free/en/shelves/nlp/page/30/) **31** [32](https://md.research.elamur.ai/free/en/shelves/nlp/page/32/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/32/) - [Evaluating Text Generation from Discourse Representation Structures](https://md.research.elamur.ai/free/en/papers/wang-2021-evaluating-text-generation-discourse-representation/) — Chunliu Wang, Rik van Noord, Arianna Bisazza, et al. · 2021 - [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) — Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, et al. · 2021 - [Explanations for CommonsenseQA: New Dataset and Models](https://md.research.elamur.ai/free/en/papers/aggarwal-2021-explanations-commonsenseqa-new-dataset-models/) — Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al. · 2021 - [Exploiting Cloze-Questions for Few-Shot Text Classification and Natural Language Inference](https://md.research.elamur.ai/free/en/papers/schick-2021-exploiting-cloze-questions-few-shot/) — Timo Schick, Hinrich Schütze · 2021 - [Factual Probing Is MASK: Learning vs. Learning to Recall](https://md.research.elamur.ai/free/en/papers/zhong-2021-factual-probing-is-mask-learning/) — Zexuan Zhong, Dan Friedman, Danqi Chen · 2021 - [Few-NERD: A Few-shot Named Entity Recognition Dataset](https://md.research.elamur.ai/free/en/papers/ding-2021-few-nerd-few-shot-named/) — Ning Ding, Guangwei Xu, Yulin Chen, et al. · 2021 - [Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach](https://md.research.elamur.ai/free/en/papers/emnlp-2021-lazar-filling-gaps-ancient-akkadian-texts/) — Koren Lazar, Benny Saret, Asaf Yehudai, et al. · 2021 - [Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion](https://md.research.elamur.ai/free/en/papers/chakravarthi-2021-findings-shared-task-hope-speech/) — Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran · 2021 - [FUDGE: Controlled Text Generation With Future Discriminators](https://md.research.elamur.ai/free/en/papers/yang-2021-fudge-controlled-text-generation-future/) — Kevin Yang, Dan Klein · 2021 - [GeDi: Generative Discriminator Guided Sequence Generation](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/) — Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al. · 2021 - [Gender and Representation Bias in GPT-3 Generated Stories](https://md.research.elamur.ai/free/en/papers/lucy-2021-gender-representation-bias-gpt-3/) — Li Lucy, David Bamman · 2021 - [Gender Bias in Machine Translation](https://md.research.elamur.ai/free/en/papers/savoldi-2021-gender-bias-machine-translation/) — Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al. · 2021 - [Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence](https://md.research.elamur.ai/free/en/papers/schuster-2021-get-your-vitamin-c-robust/) — Tal Schuster, Adam Fisch, Regina Barzilay · 2021 - [Glancing Transformer for Non-Autoregressive Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2021-glancing-transformer-non-autoregressive-neural/) — Lihua Qian, Hao Zhou, Yu Bao, et al. · 2021 - [GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation](https://md.research.elamur.ai/free/en/papers/yoo-2021-gpt3mix-leveraging-large-scale-language/) — Kang Min Yoo, Dongju Park, Jaewook Kang, et al. · 2021 - [Gradient-based Adversarial Attacks against Text Transformers](https://md.research.elamur.ai/free/en/papers/guo-2021-gradient-based-adversarial-attacks-against/) — Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, et al. · 2021 - [Grammar-Based Concept Alignment for Domain-Specific Machine Translation](https://md.research.elamur.ai/free/en/papers/masciolini-2021-grammar-based-concept-alignment-domain/) — Arianna Masciolini, Aarne Ranta · 2021 - [GSum: A General Framework for Guided Neural Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/) — Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al. · 2021 - [Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies](https://md.research.elamur.ai/free/en/papers/dev-2021-harms-gender-exclusivity-challenges-non/) — Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al. · 2021 - [HateBERT: Retraining BERT for Abusive Language Detection in English](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/) — Tommaso Caselli, Valerio Basile, Jelena Mitrović, et al. · 2021 - [HateCheck: Functional Tests for Hate Speech Detection Models](https://md.research.elamur.ai/free/en/papers/rottger-2021-hatecheck-functional-tests-hate-speech/) — Paul Röttger, Bertie Vidgen, Dong Nguyen, et al. · 2021 - [Hebrew Psychological Lexicons](https://md.research.elamur.ai/free/en/papers/aclbulk-2021-shapira-hebrew-psychological-lexicons/) — Natalie Shapira, Dana Atzil-Slonim, Daniel Juravski, et al. · 2021 - [Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger](https://md.research.elamur.ai/free/en/papers/qi-2021-hidden-killer-invisible-textual-backdoor/) — Fanchao Qi, Mukai Li, Yangyi Chen, et al. · 2021 - [HONEST: Measuring Hurtful Sentence Completion in Language Models](https://md.research.elamur.ai/free/en/papers/nozza-2021-honest-measuring-hurtful-sentence-completion/) — Debora Nozza, Federico Bianchi, Dirk Hovy · 2021 - [How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/) — Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al. · 2021 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/30/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [30](https://md.research.elamur.ai/free/en/shelves/nlp/page/30/) **31** [32](https://md.research.elamur.ai/free/en/shelves/nlp/page/32/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/32/)