Autores
Gelbukh Alexander
Título A Hybrid Question Answering System based on Information Retrieval and Answer Validation
Tipo Congreso
Sub-tipo Memoria
Descripción CLEF 2011 Labs and Workshop. Notebook Papers.
Resumen The article presents the experiments carried out as part of the participation in the main task of QA4MRE@CLEF 2011. We have submitted total five unique runs in the main task: two runs from systems based on Answer Validation (AV) machine reading techniques, one run from systems based on Question Answering (QA) techniques while the last two runs are hybrid systems where the decision is taken based on the outputs from the AV and QA based systems. In the AV 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 definesthe Text T. Each T-H pair is assigned a ranking score in the AV system that works on textual entailment principle. The answer option for which the TH pair gets the maximum score is selected as the possible answer. The two unique runs differ in the way in which the relevant sentences are retrieved from the associated document. The second system is based on Question Answering (QA) technique. Each question along with each answer option generates the possible answer patterns. Each sentence in the associated document is assigned an inference score with respect to each answer pattern. The sentence that rec
Observaciones CLEF 2011 Workshop on Question Answering For Machine Reading Evaluation (QA4MRE).
Lugar Amsterdam
País Paises Bajos
No. de páginas 1-16
Vol. / Cap.
Inicio 2011-09-19
Fin 2011-09-22
ISBN/ISSN