An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Inducing Features of Random Fields
Inducing Features of Random Fields
Trainable question-answering systems
Trainable question-answering systems
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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
Unsupervised question answering data acquisition from local corpora
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Resource analysis for question answering
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
Information extraction for question answering: improving recall through syntactic patterns
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Learning to identify single-snippet answers to definition questions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A Parallel Corpus Labeled Using Open and Restricted Domain Ontologies
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Paraphrase recognition using machine learning to combine similarity measures
ACLstudent '09 Proceedings of the ACL-IJCNLP 2009 Student Research Workshop
A proposal of expected answer type and named entity annotation in a question answering context
HSI'09 Proceedings of the 2nd conference on Human System Interactions
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
Language independent answer prediction from the web
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Learning to predict from textual data
Journal of Artificial Intelligence Research
Answer extraction from passage graph for question answering
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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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.