Performance issues and error analysis in an open-domain Question Answering system

被引：119

作者：

Moldovan, D

Pasca, M

Harabagiu, S

Surdeanu, M

机构：

[1] Richardson, TX 75080

来源：

ACM TRANSACTIONS ON INFORMATION SYSTEMS | 2003年 / 21卷 / 02期

关键词：

performance; experimentation; Question Answering; performance analysis; text retrieval; natural; language applications;

D O I：

10.1145/763693.763694

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an in-depth analysis of a state-of-the- art Question Answering system. Several scenarios are examined: ( 1) the performance of each module in a serial baseline system, ( 2) the impact of feedbacks and the insertion of a logic prover, and ( 3) the impact of various retrieval strategies and lexical resources. The main conclusion is that the overall performance depends on the depth of natural language processing resources and the tools used for answer finding.

引用

页码：133 / 154

页数：22

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