Please use this identifier to cite or link to this item:
|Title: ||DI@UE in CLEF2012: question answering approach to the multiple choice QA4MRE challenge|
|Authors: ||Saias, José|
|Editors: ||Forner, Pamela|
|Issue Date: ||Sep-2012|
|Citation: ||José Saias and Paulo Quaresma, "DI@UE in clef2012: question answering approach to the multiple choice qa4mre challenge", In Proceedings of CLEF 2012 Evaluation Labs and Workshop - Working Notes Papers, Rome, Italy, September 2012. ISBN 978-88-904810-3-1.|
|Abstract: ||In the 2012 edition of CLEF, the DI@UE team has signed up for Question Answering for Machine Reading Evaluation (QA4MRE) main task.
For each question, our system tries to guess which of the five hypotheses is the more plausible response, taking into account the reading test content and the documents from the background collection on the question topic.
For each question, the system applies Named Entity Recognition, Question Classification, Document and Passage Retrieval.
The criteria used in the first run is to choose the answer with the smallest distance between question and answer key elements.
The system applies a specific treatment for certain factual questions, with the categories Quantity, When, Where, What, and Who, whose responses are usually short and likely to be detected in the text.
For the second run, the system tries to solve each question according to its category.
Textual patterns used for answer validation and Web answer projection are defined according to the question category.
The system answered to all 160 questions, having found 50 right candidate answers.|
|Appears in Collections:||INF - Artigos em Livros de Actas/Proceedings|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.