Abstract | ||
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A Question Answering (QA) system must provide concise answers, from a set of text documents, to questions stated by the user in natural language. Current QA systems are oriented to answer open-domain questions, but question analysis must be adapted to the characteristics of a restricted domain for being successfully applied to real-world scenarios. Unfortunately, research addressing question analysis has only produced ad-hoc solutions and no significant attention has been paid to develop comprehensive approaches to effortlessly carry out this adaptation. To overcome this drawback, this paper presents a model-driven approach for systematically and automatically adapt QA systems to new domains by means of a set of model transformations established by using the QVT (Query/View/Transformation) language. |
Year | Venue | Keywords |
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2010 | 22ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING & KNOWLEDGE ENGINEERING (SEKE 2010) | question answering, metamodeling, model-driven development, model transformations |
Field | DocType | Citations |
Programming language,Computer science,Question analysis | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Katia Vila | 1 | 23 | 4.56 |
Jose-Norberto Mazón | 2 | 763 | 56.29 |
Antonio Ferrández | 3 | 226 | 25.57 |