Graph-based Natural Language Processing and Information Retrieval pdf epub mobi txt 电子书 下载 2025
- 计算语言学
- NLP
- 机器学习
- graph-based
- 数学
- 复杂网络
- 统计学习
- IR
Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications, and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification, and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.
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降一星，有点唬人的书。比较表面，不过还是很前沿滴。overview吧~
评分2011年，还比较新，小书一本，查询用不错
评分降一星，有点唬人的书。比较表面，不过还是很前沿滴。overview吧~
评分基本把基于图和网络的算法都归纳总结起来了，看了对整理思路很有帮助，接下去几天花时间把一些算法结合我目前做的问题考虑清楚
评分2011年，还比较新，小书一本，查询用不错
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