Machine Learning
Feature selection in SVM text categorization
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Text classification using string kernels
The Journal of Machine Learning Research
Toward semantics-based answer pinpointing
HLT '01 Proceedings of the first international conference on Human language technology research
Efficient support vector classifiers for named entity recognition
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
SVM answer selection for open-domain question answering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Hierarchical directed acyclic graph kernel: methods for structured natural language data
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Parsing and question classification for question answering
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Japanese dependency analysis using cascaded chunking
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Question answering as question-biased term extraction: a new approach toward multilingual QA
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A language independent method for question classification
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A Chinese question classification using one-vs-one method as a learning tool
International Journal of Intelligent Information and Database Systems
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Question classification in spanish and portuguese
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Using syntactic and semantic structural kernels for classifying definition questions in Jeopardy!
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A preliminary work on classifying time granularities of temporal questions
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
An evaluation of classification models for question topic categorization
Journal of the American Society for Information Science and Technology
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This paper proposes a machine learning based question classification method using a kernel function, Hierarchical Directed Acyclic Graph (HDAG) Kernel. The HDAG Kernel directly accepts structured natural language data, such as several levels of chunks and their relations, and computes the value of the kernel function at a practical cost and time while reflecting all of these structures. We examine the proposed method in a question classification experiment using 5011 Japanese questions that are labeled by 150 question types. The results demonstrate that our proposed method improves the performance of question classification over that by conventional methods such as bag-of-words and their combinations.