书目名称 | Knowledge-augmented Methods for Natural Language Processing | 编辑 | Meng Jiang,Bill Yuchen Lin,Chenguang Zhu | 视频video | http://file.papertrans.cn/545/544248/544248.mp4 | 概述 | Reviews recent advances in natural language processing and focuses on the role of knowledge in language representation.Discusses the significance of knowledge in enabling higher levels of intelligence | 丛书名称 | SpringerBriefs in Computer Science | 图书封面 |  | 描述 | .Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, resulting in high-quality output. However, these models rely solely on input-output pairs during training and, therefore, struggle to incorporate external world knowledge, such as named entities, their relations, common sense, and domain-specific content. Incorporating knowledge into the training and inference of language models is critical to their ability to represent language accurately. Additionally, knowledge is essential in achieving higher levels of intelligence that cannot be attained through statistical learning of input text patterns alone. In this book, we will review recent developmentsin the field of natural language processing, specifically focusing on the role of knowledge in language representation. We will examine how pre-trained language models like GPT-4 and ChatGPT are limited | 出版日期 | Book 2024 | 关键词 | Knowledge-augmented Methods; Commonsense Reasoning; Natural Language Understanding; Large Language Mode | 版次 | 1 | doi | https://doi.org/10.1007/978-981-97-0747-8 | isbn_softcover | 978-981-97-0749-2 | isbn_ebook | 978-981-97-0747-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 | issn_series | 2191-5768 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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