| 书目名称 | Recognizing Textual Entailment | | 副标题 | Models and Applicati | | 编辑 | Ido Dagan,Dan Roth,Fabio Massimo Zanzotto | | 视频video | | | 丛书名称 | Synthesis Lectures on Human Language Technologies | | 图书封面 |  | | 描述 | In the last few years, a number of NLP researchers have developed and participated in the task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language Understanding capabilities within a very simple interface: recognizing when the meaning of a text snippet is contained in the meaning of a second piece of text. This simple abstraction of an exceedingly complex problem has broad appeal partly because it can be conceived also as a component in other NLP applications, from Machine Translation to Semantic Search to Information Extraction. It also avoids commitment to any specific meaning representation and reasoning framework, broadening its appeal within the research community. This level of abstraction also facilitates evaluation, a crucial component of any technological advancement program. This book explains the RTE task formulation adopted by the NLP research community, and gives a clear overview of research in this area. It draws out commonalities in this research, detailing the intuitions behind dominant approaches and their theoretical underpinnings. This book has been written with a wide audience in mind, but is intended to inform all readers about the | | 出版日期 | Book 2013 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02151-0 | | isbn_softcover | 978-3-031-01023-1 | | isbn_ebook | 978-3-031-02151-0Series ISSN 1947-4040 Series E-ISSN 1947-4059 | | issn_series | 1947-4040 | | copyright | Springer Nature Switzerland AG 2013 |
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发表于 2025-3-21 16:07:16
