DptOIE: a Portuguese open information extraction based on dependency analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3ABP5GQKJP" target="_blank" >RIV/00216208:11320/22:BP5GQKJP - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/s10462-022-10349-4" target="_blank" >https://doi.org/10.1007/s10462-022-10349-4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10462-022-10349-4" target="_blank" >10.1007/s10462-022-10349-4</a>

Result language

angličtina

Original language name

DptOIE: a Portuguese open information extraction based on dependency analysis

Original language description

It is estimated that more than 80% of the information on the Web is stored in textual form. As such, it has become increasingly difficult for humans to sort and extract useful information from the daily influx of data. In order to automate this process, open information extraction (OIE) methods have been proposed, which can extract facts from large textual bases. While most OIE methods were initially developed for the English language, the importance of developing methods for other languages, such as Portuguese, has been increasingly recognized in recent literature. OIE methods based on hand-crafted rules and shallow syntactic analysis have achieved good performances for the English language. Nevertheless, methods based on similar approaches in the Portuguese language have not achieved equivalent success. We believe that the shallow syntactic patterns previously explored in the literature do not cover important aspects of the Portuguese language syntax. For this reason, we propose the DptOIE method based on a new set of syntax-based rules using dependency parsers and a depth-first search (DFS) algorithm for OIE and a set of grammar-based rules to cover specific syntactic phenomena of the language. DptOIE was compared against the state-of-the-art OIE for the Portuguese language, obtaining favorable results both in our empirical evaluation and at the IberLEF evaluation track of OIE systems for the Portuguese language. Furthermore, we believe our method can be easily adapted to other Romance languages related to Portuguese.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

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

2022

Confidentiality

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

Name of the periodical

Artificial Intelligence Review [online]

ISSN

0269-2821

e-ISSN

1573-7462

Volume of the periodical

—

Issue of the periodical within the volume

2022-12-5

Country of publishing house

JP - JAPAN

Number of pages

32

Pages from-to

1-32

UT code for WoS article

000894383800002

EID of the result in the Scopus database

2-s2.0-85143335668