TY - JOUR
T1 - Question answering system for QA4MRE@CLEF 2012
AU - Bhaskar, Pinaki
AU - Pakray, Partha
AU - Banerjee, Somnath
AU - Banerjee, Samadrita
AU - Bandyopadhyay, Sivaji
AU - Gelbukh, Alexander
PY - 2012
Y1 - 2012
N2 - The article presents the experiments carried out as part of the participation in the main task of QA4MRE@CLEF 2012. In the developed system, we first combine the question and each answer option to form the Hypothesis (H). Stop words are removed from each H and query words are identified to retrieve the most relevant sentences from the associated document using Lucene. Relevant sentences are retrieved from the associated document based on the TF-IDF of the matching query words along with n-gram overlap of the sentence with the H. Each retrieved sentence defines the Text T. Each T-H pair is assigned a ranking score that works on textual entailment principle. A validate weight is automatically assigned to each answer options based on their ranking. A parallel procedure also generates the possible answer patterns from given questions and answer options. Each sentence in the associated document is assigned an inference score with respect to each answer pattern. Evaluated inference score for each answer option is multiplied by the validate weight based on their ranking. The answer option that receives the highest selection score is identified as the most relevant option and selected as the answer to the given question.
AB - The article presents the experiments carried out as part of the participation in the main task of QA4MRE@CLEF 2012. In the developed system, we first combine the question and each answer option to form the Hypothesis (H). Stop words are removed from each H and query words are identified to retrieve the most relevant sentences from the associated document using Lucene. Relevant sentences are retrieved from the associated document based on the TF-IDF of the matching query words along with n-gram overlap of the sentence with the H. Each retrieved sentence defines the Text T. Each T-H pair is assigned a ranking score that works on textual entailment principle. A validate weight is automatically assigned to each answer options based on their ranking. A parallel procedure also generates the possible answer patterns from given questions and answer options. Each sentence in the associated document is assigned an inference score with respect to each answer pattern. Evaluated inference score for each answer option is multiplied by the validate weight based on their ranking. The answer option that receives the highest selection score is identified as the most relevant option and selected as the answer to the given question.
KW - Named entity
KW - QA4MRE data sets
KW - Question answering technique
KW - Textual entailment
UR - http://www.scopus.com/inward/record.url?scp=84922023895&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:84922023895
SN - 1613-0073
VL - 1178
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2012 Cross Language Evaluation Forum Conference, CLEF 2012
Y2 - 17 September 2012 through 20 September 2012
ER -