--- title: "Natural language processing — papers, page 27" description: "Natural language processing: 2421 papers of the Elamur Research library · page 27 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/27/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/27/) [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 27 # 💬 Natural language processing 2421 papers · page 27 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/26/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [26](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) **27** [28](https://md.research.elamur.ai/free/en/shelves/nlp/page/28/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/28/) - [Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations](https://md.research.elamur.ai/free/en/papers/jung-2022-maieutic-prompting-logically-consistent-reasoning/) — Jaehun Jung, Lianhui Qin, Sean Welleck, et al. · 2022 - [MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/) — David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al. · 2022 - [MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/malmasi-2022-multiconer-large-scale-multilingual-dataset/) — Shervin Malmasi, Anjie Fang, Besnik Fetahu, et al. · 2022 - [NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/) — Ximing Lu, Sean Welleck, Peter West, et al. · 2022 - [On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?](https://md.research.elamur.ai/free/en/papers/dziri-2022-origin-hallucinations-conversational-models-is/) — Nouha Dziri, Sivan Milton, Mo Yu, et al. · 2022 - [OpenPrompt: An Open-source Framework for Prompt-learning](https://md.research.elamur.ai/free/en/papers/ding-2022-openprompt-open-source-framework-prompt/) — Ning Ding, Shengding Hu, Weilin Zhao, et al. · 2022 - [P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2022 - [ParaDetox: Detoxification with Parallel Data](https://md.research.elamur.ai/free/en/papers/logacheva-2022-paradetox-detoxification-parallel-data/) — Varvara Logacheva, Daryna Dementieva, Sergey Ustyantsev, et al. · 2022 - [Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis](https://md.research.elamur.ai/free/en/papers/findings-2022-kulick-penn-helsinki-parsed-corpus-early/) — Seth Kulick, Neville Ryant, Beatrice Santorini · 2022 - [PPT: Pre-trained Prompt Tuning for Few-shot Learning](https://md.research.elamur.ai/free/en/papers/gu-2022-ppt-pre-trained-prompt-tuning/) — Yuxian Gu, Xu Han, Zhiyuan Liu, et al. · 2022 - [PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/) — Wen Xiao, Iz Beltagy, Giuseppe Carenini, et al. · 2022 - [Probing Classifiers: Promises, Shortcomings, and Advances](https://md.research.elamur.ai/free/en/papers/belinkov-2022-probing-classifiers-promises-shortcomings-advances/) — Yonatan Belinkov · 2022 - [Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction](https://md.research.elamur.ai/free/en/papers/ma-2022-prompt-extraction-paie-prompting-argument/) — Yubo Ma, Zehao Wang, Yixin Cao, et al. · 2022 - [ProsocialDialog: A Prosocial Backbone for Conversational Agents](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/) — Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al. · 2022 - [QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization](https://md.research.elamur.ai/free/en/papers/fabbri-2022-qafacteval-improved-qa-based-factual/) — Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al. · 2022 - [Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) — Patrick Fernandes, António Farinhas, Ricardo Rei, et al. · 2022 - [QuALITY: Question Answering with Long Input Texts, Yes!](https://md.research.elamur.ai/free/en/papers/pang-2022-quality-question-answering-long-input/) — Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, et al. · 2022 - [Re2G: Retrieve, Rerank, Generate](https://md.research.elamur.ai/free/en/papers/glass-2022-re2g-retrieve-rerank-generate/) — Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al. · 2022 - [Red Teaming Language Models with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/) — Ethan Perez, Saffron Huang, Francis Song, et al. · 2022 - [Reframing Instructional Prompts to GPTk's Language](https://md.research.elamur.ai/free/en/papers/mishra-2022-reframing-instructional-prompts-gptk-s/) — Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al. · 2022 - [Restoring Hebrew Diacritics Without a Dictionary](https://md.research.elamur.ai/free/en/papers/findings-2022-gershuni-restoring-hebrew-diacritics-without-dictionary/) — Elazar Gershuni, Yuval Pinter · 2022 - [Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?](https://md.research.elamur.ai/free/en/papers/min-2022-rethinking-role-demonstrations-what-makes/) — Sewon Min, Xinxi Lyu, Ari Holtzman, et al. · 2022 - [RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/) — Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al. · 2022 - [Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages](https://md.research.elamur.ai/free/en/papers/ramesh-2022-samanantar-largest-publicly-available-parallel/) — Gowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al. · 2022 - [SCROLLS: Standardized CompaRison Over Long Language Sequences](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/) — Uri Shaham, Elad Segal, Maor Ivgi, et al. · 2022 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [26](https://md.research.elamur.ai/free/en/shelves/nlp/page/26/) **27** [28](https://md.research.elamur.ai/free/en/shelves/nlp/page/28/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/28/)