Title :
TPE Based Tuple Extraction Method for Question and Answering System
Author :
Jarang Kim ; Kyungsoo Kim ; Yong Suk Choi
Author_Institution :
Dept. of Comput. & Software, Hanyang Univ., Seoul, South Korea
Abstract :
In order to develop effective question and answering (Q&A) system, it is necessary to analyze syntactic structures of sentence and extract a set of semantically important words (tuple) from them. In this paper, we propose Tree Pattern Expression (TPE) based tuple extraction method for high-performance Q&A system. To extract tuples from target sentences more accurately than conventional Q&A systems, TPE and its fast pattern matching algorithm are used. A tuple consists of subject, predicate, object, preposition and its object, which may contain a correct answer part for a given question. In experiments, our TPE based method performs much better than traditional ones for Q&A system, as we expected, because our method elicits key structures of complicated sentences elaborately and thus extracts their associated tuples more accurately.
Keywords :
natural language processing; pattern matching; question answering (information retrieval); TPE based tuple extraction method; high-performance Q&A system; pattern matching algorithm; question and answering system; semantically important word extraction; sentence syntactic structure analysis; tree pattern expression; Data mining; Educational institutions; Knowledge discovery; Pattern matching; Semantics; Syntactics; Tagging;
Conference_Titel :
Information Science and Applications (ICISA), 2014 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4799-4443-9
DOI :
10.1109/ICISA.2014.6847474