Bridging the lexical chasm: statistical approaches to answer-finding
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
Analyses for elucidating current question answering technology
Natural Language Engineering
Experiments with open-domain textual Question Answering
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Question answering using maximum entropy components
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
A statistical method for short answer extraction
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Learning to find answers to questions on the Web
ACM Transactions on Internet Technology (TOIT)
Fine-grained proper noun ontologies for question answering
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
An exploration of the principles underlying redundancy-based factoid question answering
ACM Transactions on Information Systems (TOIS)
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In this paper we examine a sentence comprehension task: given a question, and an extended sentence known to answer that question, the goal is to extract the short answer to the question. As an initial solution, a novel robust statistical model is presented which combines the semantics of the expected answer with the expected context within which the answer will be found. Two distinct trivia game databases, with no additional annotation, are used to train and test the model.