| 书目名称 | Understanding Natural Language Understanding | | 编辑 | Erik Cambria | | 视频video | | | 概述 | Dives into the fascinating world of Natural Language Understanding (NLU) from its foundations to latest advancements.Explores linguistic theory and computational techniques, syntactic parsing, semanti | | 图书封面 |  | | 描述 | .About half a century ago, AI pioneers like Marvin Minsky embarked on the ambitious project of emulating how the human mind encodes and decodes meaning. While today we have a better understanding of the brain thanks to neuroscience, we are still far from unlocking the secrets of the mind, especially when it comes to language, the prime example of human intelligence. “Understanding natural language understanding”, i.e., understanding how the mind encodes and decodes meaning through language, is a significant milestone in our journey towards creating machines that genuinely comprehend human language. Large language models (LLMs) such as GPT-4 have astounded us with their ability to generate coherent, contextually relevant text, seemingly bridging the gap between human and machine communication. Yet, despite their impressive capabilities, these models operate on statistical patterns rather than true comprehension. ..This textbook delves into the nuanced differences between these two paradigms and explores the future of AI as we strive to achieve true natural language understanding (NLU). LLMs excel at identifying and replicating patterns within vast datasets, producing responses that | | 出版日期 | Textbook 2025 | | 关键词 | Anaphora Resolution; Aspect Extraction; Knowledge Representation; Large Language Models; Metaphor Unders | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-73974-3 | | isbn_softcover | 978-3-031-73976-7 | | isbn_ebook | 978-3-031-73974-3 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:20:36
