New PDF release: Graph-based Natural Language Processing and Information

By Rada Mihalcea,Dragomir Radev

Graph concept and the fields of traditional language processing and knowledge retrieval are well-studied disciplines. typically, those parts were perceived as specified, with diverse algorithms, varied functions and diversified power end-users. even if, contemporary study has proven that those disciplines are in detail hooked up, with a wide number of usual language processing and knowledge retrieval purposes discovering effective recommendations inside graph-theoretical frameworks. This 2011 publication greatly covers using graph-based algorithms for typical language processing and knowledge retrieval. It brings jointly subject matters as various as lexical semantics, textual content summarization, textual content mining, ontology building, textual content class and data retrieval, that are hooked up by means of the typical underlying subject matter of using graph-theoretical tools for textual content and knowledge processing initiatives. Readers will come away with a company knowing of the most important tools and functions in traditional language processing and knowledge retrieval that depend on graph-based representations and algorithms.

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Graph-based Natural Language Processing and Information Retrieval by Rada Mihalcea,Dragomir Radev


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