Abstract | ||
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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 Schlaefer | 1 | 559 | 26.50 |
Petra Gieselmann | 2 | 92 | 6.28 |
Thomas Schaaf | 3 | 364 | 44.96 |
Alex Waibel | 4 | 6343 | 1980.68 |