Naslov
Graph-Based Taxonomic Semantic Class Labeling

Autori
Ban Kirigin, Tajana ; Bujačić Babić, Sanda ; Perak, Benedikt

Izvornik
Future Internet (1999-5903) 14 (2022), 12; 383, 22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
lexical graph analysis ; corpus ; syntactic–semantic dependency ; word sense ; hypernym ; knowledge representation and reasoning

Sažetak
We present a graph-based method for the lexical task of labeling senses of polysemous lexemes. The labeling task aims at generalizing sense features of a lexical item in a corpus using more abstract concepts. In this method, a coordination dependency-based lexical graph is first constructed with clusters of conceptually associated lexemes representing related senses and conceptual domains of a source lexeme. The label abstraction is based on the syntactic patterns of the x is_a y dependency relation. For each sense cluster, an additional lexical graph is constructed by extracting label candidates from a corpus and selecting the most prominent is_a collocates in the constructed label graph. The obtained label lexemes represent the sense abstraction of the cluster of conceptually associated lexemes. In a similar graph-based procedure, the semantic class representation is validated by constructing a WordNet hypernym relation graph. These additional labels indicate the most appropriate hypernym category of a lexical sense community. The proposed labeling method extracts hierarchically abstract conceptual content and the sense semantic features of the polysemous source lexeme, which can facilitate lexical understanding and build corpus-based taxonomies.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo, Filologija

Napomena
This article belongs to the Special Issue
"Collaborative and Intelligent Networks and Decision
Systems and Services for Supporting Engineering and
Production Management II"

POVEZANOST RADA