Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
Implementation issues in the development of the PARSEC parser
Software—Practice & Experience
GAS, a concept on modeling species in genetic algorithms
Artificial Intelligence
The effectiveness of corpus-induced dependency grammars for post-processing speech
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Deep Read: a reading comprehension system
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Managing Multiple Knowledge Sources In Constraint-Based Parsing Of Spoken Language
Fundamenta Informaticae
Analyses for elucidating current question answering technology
Natural Language Engineering
A machine learning approach to answering questions for reading comprehension tests
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Looking under the hood: tools for diagnosing your question answering engine
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Reading comprehension tests for computer-based understanding evaluation
Natural Language Engineering
CIS'09 Proceedings of the international conference on Computational and information science 2009
Computational approaches to sentence completion
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Generating extractive summaries of scientific paradigms
Journal of Artificial Intelligence Research
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This paper describes the Question Answering System constructed during a one semester graduate-level course on Natural Language Processing (NLP). We hypothesized that by using a combination of syntactic and semantic features and machine learning techniques, we could improve the accuracy of question answering on the test set of the Remedia corpus over the reported levels. The approach, although novel, was not entirely successful in the time frame of the course.