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Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models

Authors :
Silvia Terragni
Debora Nozza
Messina Enza
Elisabetta Fersini
Terragni, S
Nozza, D
Fersini, E
Messina, V
Source :
Insights
Publication Year :
2020
Publisher :
Association for Computational Linguistics, 2020.

Abstract

Topic models have been widely used to discover hidden topics in a collection of documents. In this paper, we propose to investigate the role of two different types of relational information, i.e. document relationships and concept relationships. While exploiting the document network significantly improves topic coherence, the introduction of concepts and their relationships does not influence the results both quantitatively and qualitatively.

Details

Database :
OpenAIRE
Journal :
Proceedings of the First Workshop on Insights from Negative Results in NLP
Accession number :
edsair.doi.dedup.....6368211fe6e61cb5f815ae9325eedc58
Full Text :
https://doi.org/10.18653/v1/2020.insights-1.5