Abstract
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.
Original language | English (US) |
---|---|
Pages (from-to) | 133-154 |
Number of pages | 22 |
Journal | ACM Transactions on Information Systems |
Volume | 21 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2003 |
Externally published | Yes |
Keywords
- Natural language applications
- Performance analysis
- Question answering
- Text retrieval
ASJC Scopus subject areas
- Information Systems
- General Business, Management and Accounting
- Computer Science Applications