Okgraph: Unsupervised structured data extraction from plain text

Atzori M.;Balloccu S.;Usai S. R.
2019-01-01

Abstract

In this report we introduce OKgraph, a software library for (open) Knowledge Graph extraction from free text. Named after a two-year project where we studied and developed unsupervised algorithms addressing tasks related to taxonomy learning, the library contains NLP tools powered by these results.
2019
Inglese
CEUR Workshop Proceedings
CEUR-WS
2441
30
31
2
10th Italian Information Retrieval Workshop, IIR 2019
Esperti anonimi
2019
Department of Information Engineering of the University of Padua, ita
internazionale
scientifica
Knowledge graphs
Machine understanding
Unsupervised learning
Word embeddings
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Atzori, M.; Balloccu, S.; Bellanti, A.; Mameli, E.; Usai, S. R.
273
5
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie