The analysis of hybrid trie structures
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Parsing and question classification for question answering
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Benchmarking data mining methods in CAT
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Learning regular expressions to template-based FAQ retrieval systems
Knowledge-Based Systems
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In this article we introduce a new approach (and several implementations) to the task of question classification. The approach extracts structural information using machine learning techniques and the patterns found are used to classify the questions. The approach fits in between the machine learning and handcrafting of regular expressions (as it was done in the past) and combines the best of both: classifiers can be generated automatically and the output can be investigated and manually optimised if needed.