TY  - JOUR
T1  - Factual Question Answering by Automatic Surface Pattern Learning Using Reformulation Rules
AU - , S.M. Rafizul Haque AU - , Niazur Rahman AU - , Shahabul Islam 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 4
SP  - 437
EP  - 441
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.437.441
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.437.441
KW  - Surface pattern learning
KW  -reformulation rules
KW  -MRR
KW  -precision
AB  - Many of the high performing factual question answering systems in the recent TREC
(Text Retrieval Conference)`s use a fairly extensive list of surface text patterns. In this study, an automatic
surface pattern learning using reformulation rules is proposed. In essence, this is an adaptation of surface
pattern learning first proposed by Deepak Ravichandran and Hovy. In our proposed system, predefined sets
of representative question and answer patterns, instead of question answer pairs, are used for answer
extraction. The performance of the modified system is measured by using two conventional and standard
metrics-MRR (Mean Reciprocal Rank) and precision. The system`s performance is also contrasted with that of
Hovy`s, so as to elicit improvements due to proposed modifications, using the same metrics.
ER  -