| 书目名称 | Inductive Dependency Parsing |
| 编辑 | Joakim Nivre |
| 视频video | |
| 概述 | New, efficient algorithm for robust dependency parsing.Extensive empirical evaluation of memory-based dependency parsing.One-stop reference to dependency-based parsing of natural language |
| 丛书名称 | Text, Speech and Language Technology |
| 图书封面 |  |
| 描述 | .This book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-driven approach to syntactic parsing. More precisely, it is based on a deterministic parsing algorithm in combination with inductive machine learning to predict the next parser action. ..The book includes a theoretical analysis of all central models and algorithms, as well as a thorough empirical evaluation of memory-based dependency parsing, using data from Swedish and English. Offering the reader a one-stop reference to dependency-based parsing of natural language, it is intended for researchers and system developers in the language technology field, and is also suited for graduate or advanced undergraduate education.. |
| 出版日期 | Book 2006 |
| 关键词 | Index; Parsing; algorithms; language; learning; machine learning; natural language; syntactic |
| 版次 | 1 |
| doi | https://doi.org/10.1007/1-4020-4889-0 |
| isbn_softcover | 978-90-481-7218-4 |
| isbn_ebook | 978-1-4020-4889-0Series ISSN 1386-291X Series E-ISSN 2542-9388 |
| issn_series | 1386-291X |
| copyright | Springer Science+Business Media B.V. 2006 |
发表于 2025-3-21 18:26:05
