53ecee780cf26b9b7dbfff98

See discussions, stats, and author profiles for this publication at: http://www.researchgate.net/publication/247930909

SIM: um modelo semântico-inferencialista para sistemas de linguagem natural
ARTICLE · JANUARY 2008
DOI: 10.1145/1809980.1810065

CITATIONS

DOWNLOADS

VIEWS

6

15

69

5 AUTHORS, INCLUDING:
Pinheiro Vladia

Tarcisio Pequeno

Universidade de Fortaleza

Universidade de Fortaleza

18 PUBLICATIONS 42 CITATIONS

31 PUBLICATIONS 115 CITATIONS

SEE PROFILE

SEE PROFILE

Vasco Furtado

Thiago Assunção

Universidade de Fortaleza

Universidade de Fortaleza

94 PUBLICATIONS 294 CITATIONS

3 PUBLICATIONS 9 CITATIONS

SEE PROFILE

SEE PROFILE

Available from: Vasco Furtado
Retrieved on: 16 July 2015

SIM: Um Modelo Semântico-Inferencialista para Sistemas de Linguagem Natural
Vládia Pinheiro

Tarcisio Pequeno

Vasco Furtado

Universidade Federal do Ceará
Campus do Pici - UFC
Departamento de Computação
[phone]

Universidade de Fortaleza
Av Washington Soares, 1321
Bairro Edson Queiroz
[phone]

Universidade de Fortaleza1 e ETICE2
1
Av Washington Soares, 1321
2
Av. Pontes Vieira 220
[phone] / [phone]

[e-mail]

[e-mail]

[e-mail]
Emanoel Freitas

Thiago Assunção
Universidade de Fortaleza
Av Washington Soares, 1321
Bairro Edson Queiroz
[phone]

Universidade de Fortaleza
Av Washington Soares, 1321
Bairro Edson Queiroz
[phone]

[e-mail]

[e-mail]

ABSTRACT

Categories and Subject Descriptors

One of the growing needs related to systems of Natural Language
Processing (NLP) is that such systems must be able to perform enriched textual inferences. We argue that one reason for the current limitation of the inferences generated by these systems is that—for the most part—they are based on the characteristics of the things represented by names, and seek to draw inferences based on such characteristics. In this work, we propose the
Semantic