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Aktuelle Version vom 16. Oktober 2009, 23:11 Uhr
Intensional Question Answering using ILP: What does an answer mean?
Intensional Question Answering using ILP: What does an answer mean?
Published: 2008
Juni
Herausgeber: Epaminondas Kapetanios, Vijayan Sugumaran, Myra Spiliopoulou
Buchtitel: Natural Language and Information Systems, 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008
Ausgabe: 5039
Reihe: LNCS
Seiten: 151-162
Verlag: Springer
Erscheinungsort: London, UK
Referierte Veröffentlichung
BibTeX
Kurzfassung
We present an approach for computing intensional answers
given a set of extensional answers returned as a result of a user query
to an information system. Intensional answers are considered as descriptions
of the actual answers in terms of properties they share and which
can enhance a user's understanding of the answer itself but also of the underlying
knowledge base. In our approach, an intensional answer is represented
by a clause and computed based on Inductive Logic Programming
(ILP) techniques, in particular bottom-up clause generalization. The approach
is evaluated in terms of usefulness and time performance and its
potential for helping to detect flaws in the knowledge base is discussed.
While the approach is used in the context of a natural language question
answering system in our setting, it clearly has applications beyond.
ISBN: 978-3-540-69857-9
Download: Media:2008_1754_Cimiano_Intensional_Que_1.pdf
Natürliche Sprachverarbeitung, Mensch-Maschine-Systeme, Logikprogrammierung