Title: A text mining approach as baseline for QA4MRE'12
Authors: Verbeke, Mathias ×
Davis, Jesse #
Issue Date: Sep-2012
Host Document: CLEF 2012 Evaluation Labs and Workshop, Online Working Notes, Rome, Italy, September 17-20, 2012
Series Title: CLEF (Online Working Notes/Labs/Workshop)
Conference: Conference and Labs of the Evaluation Forum (CLEF) location:Rome, Italy date:17-20 September 2012
Abstract: This paper describes the participation of the KU Leuven DTAI team in the pilot task on machine reading of biomedical texts about the Alzheimer disease, which is part of the 2012 Question Answering for Machine Reading Evaluation campaign (QA4MRE'12). The main objective of our research was to develop a text mining system as a strong baseline for the task. Based on the outcome of this system, we want to investigate which types of questions can be answered based solely on the input text and the question string, and for which ones we need more advanced techniques that also consider the previously acquired background knowledge from the reference document collection. Furthermore this should give us some insights into the system behavior for specific question types and background information for the development of a tailored inference algorithm.
ISBN: 978-88-904810-3-1
Publication status: published
KU Leuven publication type: IMa
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
QA4MRE_ExtendedAbstract.pdfQA4MRE'12 Extended Abstract Accepted 34KbAdobe PDFView/Open
QA4MRE_WN_VerbekeDavis.pdfQA4MRE'12 Working Notes paper Accepted 172KbAdobe PDFView/Open


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