Training Datasets For Machine Reading Comprehension And Their Limitations


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Training Datasets for Machine Reading Comprehension and Their Limitations


Training Datasets for Machine Reading Comprehension and Their Limitations

Author: Johannes Welbl

language: en

Publisher:

Release Date: 2020


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Natural Language Processing and Chinese Computing


Natural Language Processing and Chinese Computing

Author: Fei Liu

language: en

Publisher: Springer Nature

Release Date: 2023-10-07


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This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023. The ____ regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.

Natural Language Processing and Chinese Computing


Natural Language Processing and Chinese Computing

Author: Derek F. Wong

language: en

Publisher: Springer Nature

Release Date: 2024-10-31


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The five-volume set LNCS 15359 - 15363 constitutes the refereed proceedings of the 13th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2024, held in Hangzhou, China, during November 2024. The 161 full papers and 33 evaluation workshop papers included in these proceedings were carefully reviewed and selected from 451 submissions. They deal with the following areas: Fundamentals of NLP; Information Extraction and Knowledge Graph; Information Retrieval, Dialogue Systems, and Question Answering; Large Language Models and Agents; Machine Learning for NLP; Machine Translation and Multilinguality; Multi-modality and Explainability; NLP Applications and Text Mining; Sentiment Analysis, Argumentation Mining, and Social Media; Summarization and Generation.