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Extracting semantic relations using syntax
Author(s) -
Kasper Welbers,
Wouter van Atteveldt,
J. Kleinnijenhuis
Publication year - 2021
Publication title -
computational communication research
Language(s) - English
Resource type - Journals
ISSN - 2665-9085
DOI - 10.5117/ccr2021.2.003.welb
Subject(s) - computer science , dependency (uml) , variety (cybernetics) , syntax , natural language processing , artificial intelligence , abstract syntax tree , information retrieval
Most common methods for automatic text analysis in communication science ignore syntactic information, focusing on the occurrence and co-occurrence of individual words, and sometimes n-grams. This is remarkably effective for some purposes, but poses a limitation for fine-grained analyses into semantic relations such as who does what to whom and according to what source . One tested, effective method for moving beyond this bag-of-words assumption is to use a rule-based approach for labeling and extracting syntactic patterns in dependency trees. Although this method can be used for a variety of purposes, its application is hindered by the lack of dedicated and accessible tools. In this paper we introduce the rsyntax R package, which is designed to make working with dependency trees easier and more intuitive for R users, and provides a framework for combining multiple rules for reliably extracting useful semantic relations.

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