SBUQA Question Answering System

被引：0

作者：

Yarmohammadi, Mahsa A. ^{[1
]}

Shamsfard, Mehrnoush ^{[1
]}

Yarmohammadi, Mahshid A. ^{[1
]}

Rouhizadeh, Masoud ^{[1
]}

机构：

[1] Shaheed Beheshti Univ, Nat Language Proc Lab, Tehran, Iran

来源：

ADVANCES IN COMPUTER SCIENCE AND ENGINEERING | 2008年 / 6卷

关键词：

Question answering systems; Answer extraction; Lexical Functional Grammar; wh-question; Information retrieval; Natural language processing;

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：

In this paper we propose a model for answer extraction component of a question answering system called Sbuqa. In our proposed system we exploit methods for meaning extension of the question and the candidate answers and also make use of ontology (WordNet). We use LFG -Lexical Functional Grammar, a meaning based grammar that analyses sentences in a deeper level than syntactic parsing- to represent the question and candidate answers. we proposed an algorithm called extended unification of f-structures to match the f-structure pattern of the question and f-structure patterns of candidate answers. Four main levels of matching are defined based on the exact matching, approximate matching, or no matching between slots and fillers of the two f-structure patterns. Finally, the sentences which acquire the minimum score to be offered the user are selected the answer clause is identified in them and displayed to the user in descending order.

引用

页码：316 / 323

页数：8