Graph-based clustering of extracted paraphrases for labelling crime reports
Abstract
Paraphrases are well-known as synonyms that express the same context in different articulations. Extracting paraphrases from a large text corpus is a challenging task in Natural Language Processing applications. The present work proposes a graph based clustering technique for discovering labels of crime reports based on extracted paraphrases from large untagged crime corpora. Initially, the entity pairs are represented as shallow parse trees...
Paper Details
Title
Graph-based clustering of extracted paraphrases for labelling crime reports
Published Date
Sep 1, 2019
Journal
Volume
179
Pages
55 - 76
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