Paraphrase Collocations Extraction Based on Concept Expansion

Zhang, Maoyuan; Li, Wang; Zhang, Hong

doi:10.1007/978-3-642-54930-4_19

Cited by 1 publication

(1 citation statement)

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“…The most well developed methods for determining the semantic similarity of short text fragments are the following: the method for determining synonymous collocations based on mutual information features [11]; the method for identifying rephrases using the similarity of fragments of phrases [12]; the method for determining context similarity based on the analysis of parallel corpora [13,14]. Similar studies on semantic proximity are monolingual sentence alignment algorithms [15,16].…”

Section: Related Workmentioning

confidence: 99%

Similar Text Fragments Extraction for Identifying Common Wikipedia Communities

Petrasova

Khairova

Lewoniewski

et al. 2018

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Similar text fragments extraction from weakly formalized data is the task of natural language processing and intelligent data analysis and is used for solving the problem of automatic identification of connected knowledge fields. In order to search such common communities in Wikipedia, we propose to use as an additional stage a logical-algebraic model for similar collocations extraction. With Stanford Part-Of-Speech tagger and Stanford Universal Dependencies parser, we identify the grammatical characteristics of collocation words. With WordNet synsets, we choose their synonyms. Our dataset includes Wikipedia articles from different portals and projects. The experimental results show the frequencies of synonymous text fragments in Wikipedia articles that form common information spaces. The number of highly frequented synonymous collocations can obtain an indication of key common up-to-date Wikipedia communities.

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Section: Related Workmentioning

confidence: 99%