Title
Automatic derivation of surface text patterns for a maximum entropy based question answering system
Abstract
In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an unsupervised fashion using a collection of trivia question and answer pairs as seeds. These patterns are used to generate features for a statistical question answering system. We report our results on the TREC-10 question set.
Year
DOI
Venue
2003
10.3115/1073483.1073512
HLT-NAACL
Keywords
Field
DocType
text pattern,surface text pattern,maximum entropy,unsupervised fashion,answer pair,question answering,trec-10 question set,automatic derivation,trivia question,statistical question answering system,question answering system
Question answering,Information retrieval,Computer science,Artificial intelligence,Natural language processing,Principle of maximum entropy
Conference
Citations 
PageRank 
References 
17
1.24
7
Authors
3
Name
Order
Citations
PageRank
Deepak Ravichandran1116784.57
Abraham Ittycheriah253461.23
Salim Roukos36248845.50