--- title: "Natural language processing — papers, page 24" description: "Natural language processing: 2421 papers of the Elamur Research library · page 24 of 97 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/nlp/page/24/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/nlp/page/24/) [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 24 # 💬 Natural language processing 2421 papers · page 24 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/23/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [23](https://md.research.elamur.ai/free/en/shelves/nlp/page/23/) **24** [25](https://md.research.elamur.ai/free/en/shelves/nlp/page/25/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/25/) - [在线教育环境中学习共同体研究综述](https://md.research.elamur.ai/free/en/papers/zhang-2023-learning-communities-online/) — 张俊涛, 杨先娣, 宋伟, et al. · 2023 - [基于依存句法的中文语义模型及语义提取方法](https://md.research.elamur.ai/free/en/papers/wang-2023-chinese-semantic-model/) — 王佳琦, 韩军, 孙启童 · 2023 - [基于依存结构学习的中学数学术语鲁棒抽取](https://md.research.elamur.ai/free/en/papers/luo-2023-dependency-structure-learning/) — 罗凯威, 罗文兵, 黄琪, et al. · 2023 - [基于学习-推理的约束求解方法研究进展](https://md.research.elamur.ai/free/en/papers/zou-2023-methods-constraint-solving/) — 邹悦, 赖家洋, 张永刚 · 2023 - [基于深度学习的代码生成方法研究进展](https://md.research.elamur.ai/free/en/papers/yang-2023-deep-learning-code/) — 杨泽洲, 陈思榕, 高翠芸, et al. · 2023 - [基于深度学习的多文档机器阅读理解综述](https://md.research.elamur.ai/free/en/papers/gao-2023-multi-document-machine/) — 高峰, 倪建成, 高鹏, et al. · 2023 - [基于神经网络模型的汉语文本难度分级](https://md.research.elamur.ai/free/en/papers/li-2023-chinese-readability-assessment/) — 李文彪, 吴云芳 · 2023 - [基于语言模型增强的中文关系抽取方法](https://md.research.elamur.ai/free/en/papers/xue-2023-language-model-enhanced/) — 薛平, 李影, 吴中海 · 2023 - [对话式论辩研究综述](https://md.research.elamur.ai/free/en/papers/wei-2023-dialogical-argumentation/) — 魏忠钰, 丁佳玙, 沈晨晨, et al. · 2023 - [常识问答研究综述](https://md.research.elamur.ai/free/en/papers/fan-2023-commonsense-question-answering/) — 范怡帆, 邹博伟, 徐庆婷, et al. · 2023 - [汉语增强依存句法自动转换研究](https://md.research.elamur.ai/free/en/papers/yu-2023-automatic-transformation-enhanced/) — 余婧思, 师佳璐, 杨麟儿, et al. · 2023 - [汉语词语离合现象识别研究](https://md.research.elamur.ai/free/en/papers/zhou-2023-separated-word-recognition/) — 周露, 曲维光, 魏庭新, et al. · 2023 - [第一届古代汉语分词和词性标注国际评测](https://md.research.elamur.ai/free/en/papers/li-2023-first-international-ancient/) — 李斌, 袁义国, 芦靖雅, et al. · 2023 - [问答ChatGPT之后: 超大预训练模型的机遇和挑战](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/) — 卢经纬, 郭超, 戴星原, et al. · 2023 - [面向链接预测的知识图谱表示学习方法综述](https://md.research.elamur.ai/free/en/papers/du-2023-representation-learning-methods/) — 杜雪盈, 刘名威, 沈立炜, et al. · 2023 - [A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/) — David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al. · 2022 - [A Survey on Automated Fact-Checking](https://md.research.elamur.ai/free/en/papers/guo-2022-survey-automated-fact-checking/) — Zhijiang Guo, Michael Schlichtkrull, Andreas Vlachos · 2022 - [A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation](https://md.research.elamur.ai/free/en/papers/liu-2022-token-level-reference-free-hallucination/) — Tianyu Liu, Yizhe Zhang, Chris Brockett, et al. · 2022 - [Active Example Selection for In-Context Learning](https://md.research.elamur.ai/free/en/papers/zhang-2022-active-example-selection-context-learning/) — Yiming Zhang, Shi Feng, Chenhao Tan · 2022 - [Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning](https://md.research.elamur.ai/free/en/papers/alabi-2022-adapting-pre-trained-language-models/) — Jesujoba O. Alabi, David Ifeoluwa Adelani, Marius Mosbach, et al. · 2022 - [AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level](https://md.research.elamur.ai/free/en/papers/acl-2022-seker-alephbert-language-model-pre-training/) — Amit Seker, Elron Bandel, Dan Bareket, et al. · 2022 - [AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages](https://md.research.elamur.ai/free/en/papers/ebrahimi-2022-americasnli-evaluating-zero-shot-natural/) — Abteen Ebrahimi, Manuel Mager, Arturo Oncevay, et al. · 2022 - [An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/meade-2022-empirical-survey-effectiveness-debiasing-techniques/) — Nicholas Meade, Elinor Poole-Dayan, Siva Reddy · 2022 - [Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection](https://md.research.elamur.ai/free/en/papers/sap-2022-annotators-attitudes-how-annotator-beliefs/) — Maarten Sap, Swabha Swayamdipta, Laura Vianna, et al. · 2022 - [Arabic Word-level Readability Visualization for Assisted Text Simplification](https://md.research.elamur.ai/free/en/papers/hazim-2022-arabic-word-level-readability-visualization/) — Reem Hazim, Hind Saddiki, Bashar Alhafni, et al. · 2022 [← prev](https://md.research.elamur.ai/free/en/shelves/nlp/page/23/) [1](https://md.research.elamur.ai/free/en/shelves/nlp/) … [23](https://md.research.elamur.ai/free/en/shelves/nlp/page/23/) **24** [25](https://md.research.elamur.ai/free/en/shelves/nlp/page/25/) … [97](https://md.research.elamur.ai/free/en/shelves/nlp/page/97/) [next →](https://md.research.elamur.ai/free/en/shelves/nlp/page/25/)