Learning parse and translation decisions from examples with rich context
Learning parse and translation decisions from examples with rich context
Inducing Features of Random Fields
Inducing Features of Random Fields
Trainable question-answering systems
Trainable question-answering systems
Is it the right answer?: exploiting web redundancy for Answer Validation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A question/answer typology with surface text patterns
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Hindi-english cross-lingual question-answering system
ACM Transactions on Asian Language Information Processing (TALIP)
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Exploring correlation of dependency relation paths for answer extraction
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Learning to identify single-snippet answers to definition questions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Identifying and analyzing judgment opinions
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
A machine learning approach for Indonesian question answering system
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Studying feature generation from various data representations for answer extraction
FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing
Specialized models and ranking for coreference resolution
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A ranking approach to pronoun resolution
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Topic-Related Polarity Classification of Blog Sentences
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Probabilistic models for answer-ranking in multilingual question-answering
ACM Transactions on Information Systems (TOIS)
Information Processing and Management: an International Journal
Narrowing the modeling gap: a cluster-ranking approach to coreference resolution
Journal of Artificial Intelligence Research
Question answering using statistical language modelling
Computer Speech and Language
Collaborative ranking: a case study on entity linking
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Exploring syntactic relation patterns for question answering
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
CLEF2006 question answering experiments at Tokyo Institute of Technology
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
A phased ranking model for question answering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
| Hi-index | 0.00 |
In this paper, we show that we can obtain a good baseline performance for Question Answering (QA) by using only 4 simple features. Using these features, we contrast two approaches used for a Maximum Entropy based QA system. We view the QA problem as a classification problem and as a re-ranking problem. Our results indicate that the QA system viewed as a re-ranker clearly outperforms the QA system used as a classifier. Both systems are trained using the same data.