Integration of world knowledge for natural language understanding [electronic resource]
- 作者： Ovchinnikova, Ekaterina.
- 其他作者：
- 其他題名：
- Atlantis thinking machines,
- 出版： Paris : Atlantis Press
- 叢書名： Atlantis thinking machines,v.3
- 主題： Computational linguistics , Computer science , Language Translation and Linguistics. , Artificial Intelligence (incl. Robotics) , Mathematical Logic and Formal Languages. , Document Preparation and Text Processing. , Computing Methodologies
- ISBN： 9789491216534 (electronic bk.) 、 9789491216527 (paper)
-
FIND@SFXID:
CGU
- 資料類型: 電子書
-
讀者標籤：
- 系統號： 005083195 | 機讀編目格式
館藏資訊
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.