Original scientific paper
https://doi.org/10.2498/cit.1001912
Contextualized Question Answering
Luka Bradeško
; Jožef Stefan Institute, Ljubljana, Slovenia
Lorand Dali
; Jožef Stefan Institute, Ljubljana, Slovenia
Blaž Fortuna
; Jožef Stefan Institute, Ljubljana, Slovenia
Marko Grobelnik
; Jožef Stefan Institute, Ljubljana, Slovenia
Dunja Mladenić
; Jožef Stefan Institute, Ljubljana, Slovenia
Inna Novalija
; Jožef Stefan Institute, Ljubljana, Slovenia
Boštjan Pajntar
; Jožef Stefan Institute, Ljubljana, Slovenia
Abstract
The paper describes a system which enables accurate and easy-to-use contextualized question answering and it provides document overview functionalities. The possibility of asking natural language questions enables a friendly interaction for the user.The contextualization is achieved by using an ontology. The answers are
provided based on a domain specific document collection of choice. The approach consists of several phases as follows: data preparation, data enhancement, data indexing and handling questions. Every module uses state of the art technologies that are shown to work in a complex pipeline to make available question answering on top of a given document repository with the context
of ontologies, such as Cyc, ASFA and WordNet. The functioning of the proposed approach is demonstrated on English document collections on Aquatic Sciences and Fisheries — ASFA, using Cyc ontology, ASFA
thesaurus as domain specific ontology and WordNet as general ontology. Experimental evaluation has shown that the usage of ontologies increases the number of answers retrieved by about 60%. However, the number of answers that are actually correct increases by only 40% when using ontologies.
Keywords
contextualized information retrieval; question answering; ontology
Hrčak ID:
63898
URI
Publication date:
30.12.2010.
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