In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an unsupervised fashion using a collection of trivia question and answer pairs as seeds. These patterns are used to generate features for a statistical question answering system. We report our results on the TREC-10 question set.
E.g., REF collect surface patterns automatically in an unsupervised fashion using a collection of trivia question and answer pairs as seeds.
Automatic Derivation Of Surface Text Patterns For A Maximum Entropy Based Question Answering System
Human Language Technology Conference And Meeting Of The North American Association For Computational Linguistics - Short Papers
Computer Science