The nature of statistical learning theory
The nature of statistical learning theory
A maximum entropy approach to natural language processing
Computational Linguistics
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Probabilistic question answering on the web
Proceedings of the 11th international conference on World Wide Web
QuASM: a system for question answering using semi-structured data
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Relational Learning for NLP using Linear Threshold Elements
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Toward semantics-based answer pinpointing
HLT '01 Proceedings of the first international conference on Human language technology research
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Question classification with support vector machines and error correcting codes
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Optimization, maxent models, and conditional estimation without magic
NAACL-Tutorials '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Tutorials - Volume 5
Learning question classifiers: the role of semantic information
Natural Language Engineering
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on 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
A graph-based semi-supervised learning for question-answering
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Investigation of question classifier in question answering
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
A semantic approach for question classification using WordNet and Wikipedia
Pattern Recognition Letters
From symbolic to sub-symbolic information in question classification
Artificial Intelligence Review
Multimedia answering: enriching text QA with media information
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Improving subtree-based question classification classifiers with word-cluster models
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Question classification by weighted combination of lexical, syntactic and semantic features
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
What is the basic semantic unit of Chinese language? a computational approach based on topic models
MOL'11 Proceedings of the 12th biennial conference on The mathematics of language
An ontology for clinical questions about the contents of patient notes
Journal of Biomedical Informatics
QAlign: a new method for bilingual lexicon extraction from comparable corpora
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Philosophy meets entertainment: designing an interactive virtual philosopher
ICEC'12 Proceedings of the 11th international conference on Entertainment Computing
A support vector machine-based context-ranking model for question answering
Information Sciences: an International Journal
Games bridging cultural communications
ACE'12 Proceedings of the 9th international conference on Advances in Computer Entertainment
Joint question clustering and relevance prediction for open domain non-factoid question answering
Proceedings of the 23rd international conference on World wide web
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Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In contrast to Li and Roth (2002)'s approach which makes use of very rich feature space, we propose a compact yet effective feature set. In particular, we propose head word feature and present two approaches to augment semantic features of such head words using WordNet. In addition, Lesk's word sense disambiguation (WSD) algorithm is adapted and the depth of hypernym feature is optimized. With further augment of other standard features such as unigrams, our linear SVM and Maximum Entropy (ME) models reach the accuracy of 89.2% and 89.0% respectively over a standard benchmark dataset, which outperform the best previously reported accuracy of 86.2%.