Unified theories of cognition
Scaling question answering to the Web
Proceedings of the 10th international conference on World Wide Web
Performance issues and error analysis in an open-domain question answering system
ACM Transactions on Information Systems (TOIS)
SNoW User Guide
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Analysis of Statistical Question Classification for Fact-Based Questions
Information Retrieval
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
The structure and performance of an open-domain question answering system
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Question classification with log-linear models
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
QuestionBank: creating a corpus of parse-annotated questions
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Enhanced answer type inference from questions using sequential models
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Automated question answering in Webclopedia: a demonstration
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Question classification with semantic tree kernel
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
QA@L2F, First Steps at QA@CLEF
Advances in Multilingual and Multimodal Information Retrieval
Priberam's Question Answering System in QA@CLEF 2007
Advances in Multilingual and Multimodal Information Retrieval
Classifying what-type questions by head noun tagging
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Question classification using head words and their hypernyms
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Enhancing QA systems with complex temporal question processing capabilities
Journal of Artificial Intelligence Research
Statistical shallow semantic parsing despite little training data
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Question classification by weighted combination of lexical, syntactic and semantic features
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Exploring linguistically-rich patterns for question generation
UCNLG+EVAL '11 Proceedings of the UCNLG+Eval: Language Generation and Evaluation Workshop
An approach to answer selection in question-answering based on semantic relations
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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Question Answering (QA) is undoubtedly a growing field of current research in Artificial Intelligence. Question classification, a QA subtask, aims to associate a category to each question, typically representing the semantic class of its answer. This step is of major importance in the QA process, since it is the basis of several key decisions. For instance, classification helps reducing the number of possible answer candidates, as only answers matching the question category should be taken into account. This paper presents and evaluates a rule-based question classifier that partially founds its performance in the detection of the question headword and in its mapping into the target category through the use of WordNet. Moreover, we use the rule-based classifier as a features' provider of a machine learning-based question classifier. A detailed analysis of the rule-base contribution is presented. Despite using a very compact feature space, state of the art results are obtained.