Title
A pattern learning approach to question answering within the ephyra framework
Abstract
This paper describes the Ephyra question answering engine, a modular and extensible framework that allows to integrate multiple approaches to question answering in one system Our framework can be adapted to languages other than English by replacing language-specific components It supports the two major approaches to question answering, knowledge annotation and knowledge mining Ephyra uses the web as a data resource, but could also work with smaller corpora In addition, we propose a novel approach to question interpretation which abstracts from the original formulation of the question Text patterns are used to interpret a question and to extract answers from text snippets Our system automatically learns the patterns for answer extraction, using question-answer pairs as training data Experimental results revealed the potential of this approach.
Year
DOI
Venue
2006
10.1007/11846406_86
TSD
Keywords
Field
DocType
ephyra framework,major approach,novel approach,extensible framework,training data experimental result,multiple approach,ephyra question answering engine,knowledge mining ephyra,question text pattern,data resource,knowledge annotation,question answering
Pattern learning,Query string,Annotation,Question answering,Information retrieval,Computer science,Abstract interpretation,Natural language,Artificial intelligence,Natural language processing,Modular design,The Internet
Conference
Volume
ISSN
ISBN
4188
0302-9743
3-540-39090-1
Citations 
PageRank 
References 
30
1.51
4
Authors
4
Name
Order
Citations
PageRank
Nico Schlaefer155926.50
Petra Gieselmann2926.28
Thomas Schaaf336444.96
Alex Waibel463431980.68