Gathering information from a relational lexical-conceptual database: A natural language question-answering system

被引：0

作者：

Marrafa, P ^{[1
]}

Ribeiro, C ^{[1
]}

Santos, R ^{[1
]}

Correia, J ^{[1
]}

机构：

[1] Univ Lisbon, CLUL, CLG Computat Lex & Grammat Knowledge Res Grp, P-1649003 Lisbon, Portugal

来源：

8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL V, PROCEEDINGS: COMPUTER SCIENCE AND ENGINEERING | 2004年

关键词：

information retrieval; lexical-conceptual networks; syntactic and semantic parsing; semantic inference and natural language generation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper describes the general architecture of a Portuguese relational lexical-conceptual database and a Question-Answering (QA) system - INQUER - that allows users to interact with this database by means of a natural language interface. This system provides direct natural language answers to user's questions by applying inference and information extraction mechanisms. Although these tools are being developed for Portuguese, both the theoretical approaches and the technologies used are language independent.

引用

页码：260 / 265

页数：6

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