Incremental Query Generatio

Laura Perez-Beltrachini 1, 2 Claire Gardent 1 Enrico Franconi 3
1 SYNALP - Natural Language Processing : representations, inference and semantics
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 KRDB, Bolzano University
KRDB - KRDB Research Centre
Abstract : We present a natural language generation system which supports the incremental specification of ontology-based queries in natural language. Our contribution is two fold. First, we introduce a chart based surface realisation algorithm which supports the kind of incremental processing required by ontology-based querying. Crucially, this algorithm avoids confusing the end user by preserving a consistent ordering of the query elements throughout the incremental query formulation process. Second, we show that grammar based surface realisation better supports the generation of fluent, natural sounding queries than previous template-based approaches.
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Communication dans un congrès
the 14th Conference of the European Chapter of the Association for Computational Linguistics., Apr 2014, Gothenburg, Sweden. pp.183-191, 2014
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Dernière modification le : mardi 24 avril 2018 - 13:21:59
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Laura Perez-Beltrachini, Claire Gardent, Enrico Franconi. Incremental Query Generatio. the 14th Conference of the European Chapter of the Association for Computational Linguistics., Apr 2014, Gothenburg, Sweden. pp.183-191, 2014. 〈hal-01021917〉

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