Extracting relations from Italian Wikipedia using unsupervised information extraction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441761" target="_blank" >RIV/00216208:11320/21:10441761 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Extracting relations from Italian Wikipedia using unsupervised information extraction

Original language description

In this paper, we describe WikiOIE, a framework for extracting relations from Wikipedia. The framework is based on UDPipe and the Universal Dependencies project for text processing. It easily allows customizing the information extraction (IE) approach to automatically extract triples (subject, predicate, object). In this work, we propose two unsupervised IE methods to extract triples from the Italian version of Wikipedia. The former is based only on PoS-tag patterns; the latter also uses syntactic dependencies. The extraction process is provided in JSON format and is used to build a simple web interface for searching and browsing the extracted triples. A preliminary evaluation conducted on a dataset sample shows promising results, although the approach is completely unsupervised.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

—

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

CEUR Workshop Proceedings

ISBN

—

ISSN

1613-0073

e-ISSN

—

Number of pages

11

Pages from-to

—

Publisher name

CEUR-WS

Place of publication

Aachen

Event location

Bari

Event date

Sep 13, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—