| 书目名称 | Integration of World Knowledge for Natural Language Understanding |
| 编辑 | Ekaterina Ovchinnikova |
| 视频video | http://file.papertrans.cn/469/468886/468886.mp4 |
| 概述 | The detailed introduction to computational natural language understanding (NLU) helps the reader to obtain background knowledge necessary to perform practical NLU.The chapter on knowledge base constru |
| 丛书名称 | Atlantis Thinking Machines |
| 图书封面 |  |
| 描述 | This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications.First, an introduction to research areas relevant for NLU is given. We review approaches to linguistic meaning, explore knowledge resources, describe semantic parsers, and compare two main forms of inference: deduction and abduction.In the main part of the book, we propose an integrative knowledge base combining lexical-semantic, ontological, and distributional knowledge. A particular attention is payed to ensuring its consistency. We then design a reasoning procedure able to make use of the large scale knowledge base. We experiment both with a deduction-based NLU system and with an abductive reasoner. For evaluation, we use three different NLU tasks: recognizing textual entailment, semantic role labeling, and interpretation of noun dependencies. |
| 出版日期 | Book 2012 |
| 关键词 | Lexical-semantic resources; Natural language understanding; Ontologies; Reasoning; Weighted abduction |
| 版次 | 1 |
| doi | https://doi.org/10.2991/978-94-91216-53-4 |
| isbn_softcover | 978-94-6239-039-3 |
| isbn_ebook | 978-94-91216-53-4Series ISSN 1877-3273 Series E-ISSN 1877-3281 |
| issn_series | 1877-3273 |
| copyright | Atlantis Press 2012 |
|Archiver|手机版|小黑屋|
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