Intensional Question Answering using ILP: What does an answer mean?

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Intensional Question Answering using ILP: What does an answer mean?

Philipp CimianoPhilipp Cimiano,  Helena HartfielHelena Hartfiel,  Sebastian RudolphSebastian Rudolph
Philipp Cimiano, Helena Hartfiel, Sebastian Rudolph
Intensional Question Answering using ILP: What does an answer mean?
In Epaminondas Kapetanios, Vijayan Sugumaran, Myra Spiliopoulou, eds., Natural Language and Information Systems, 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, volume 5039 of LNCS, 151-162, June 2008. Springer
  • KurzfassungAbstract
    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.
  • Forschungsgruppe:Research Group: Computational Logic
The final publication is available at Springer.
@inproceedings{CHR2008,
  author    = {Philipp Cimiano and Helena Hartfiel and Sebastian Rudolph},
  title     = {Intensional Question Answering using {ILP:} What does an answer
               mean?},
  editor    = {Epaminondas Kapetanios and Vijayan Sugumaran and Myra
               Spiliopoulou},
  booktitle = {Natural Language and Information Systems, 13th International
               Conference on Applications of Natural Language to Information
               Systems, {NLDB} 2008},
  series    = {LNCS},
  volume    = {5039},
  publisher = {Springer},
  year      = {2008},
  month     = {June},
  pages     = {151-162}
}