A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text

Autor: Seveso A., Mercorio F., Mezzanzanica M.
Přispěvatelé: Seveso, A, Mercorio, F, Mezzanzanica, M
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Popis: Taxonomies provide a structured representation of semantic relations between lexical terms, acting as the backbone of many applications. The research proposed herein addresses the topic of taxonomy enrichment using an”human-in-the-loop” semi-supervised approach. I will be investigating possible ways to extend and enrich a taxonomy using corpora of unstructured text data. The objective is to develop a methodological framework potentially applicable to any domain.
Databáze: OpenAIRE