C4.5: programs for machine learning
C4.5: programs for machine learning
MURAX: a robust linguistic approach for question answering using an on-line encyclopedia
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Feature selection, perceptron learning, and a usability case study for text categorization
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
The process of question answering.
The process of question answering.
Ranking suspected answers to natural language questions using predictive annotation
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Deep Read: a reading comprehension system
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Reading comprehension programs in a statistical-language-processing class
ANLP/NAACL-ReadingComp '00 Proceedings of the 2000 ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding sytems - Volume 6
A rule-based question answering system for reading comprehension tests
ANLP/NAACL-ReadingComp '00 Proceedings of the 2000 ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding sytems - Volume 6
A question answering system developed as a project in a natural language processing course
ANLP/NAACL-ReadingComp '00 Proceedings of the 2000 ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding sytems - Volume 6
Stratification Approach to Modeling Video
Multimedia Tools and Applications
Open-domain textual question answering techniques
Natural Language Engineering
Analyses for elucidating current question answering technology
Natural Language Engineering
Looking under the hood: tools for diagnosing your question answering engine
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Binding skolem clauses in theorem prover resolution for automated hypothetical question answering
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
CIS'09 Proceedings of the international conference on Computational and information science 2009
Mining the semantic information to facilitate reading comprehension
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Improving reading comprehension using knowledge model
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Using verb dependency matching in a reading comprehension system
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
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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In this paper, we report results on answering questions for the reading comprehension task, using a machine learning approach. We evaluated our approach on the Remedia data set, a common data set used in several recent papers on the reading comprehension task. Our learning approach achieves accuracy competitive to previous approaches that rely on hand-crafted, deterministic rules and algorithms. To the best of our knowledge, this is the first work that reports that the use of a machine learning approach achieves competitive results on answering questions for reading comprehension tests.