Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Machine Learning
Learning question classifiers: the role of semantic information
Natural Language Engineering
Scalable training of L1-regularized log-linear models
Proceedings of the 24th international conference on Machine learning
Discriminative structure and parameter learning for Markov logic networks
Proceedings of the 25th international conference on Machine learning
StatSnowball: a statistical approach to extracting entity relationships
Proceedings of the 18th international conference on World wide web
Understanding and summarizing answers in community-based question answering services
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Discriminative training of Markov logic networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Subtree mining for question classification problem
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Summarizing definition from Wikipedia
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 1 - Volume 1
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Classifying web queries by topic and user intent
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Locational relativity and domain constraints in spatial questions
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Community question topic categorization via hierarchical kernelized classification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Learning regular expressions to template-based FAQ retrieval systems
Knowledge-Based Systems
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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In contrast with the booming increase of internet data, state-of-art QA (question answering) systems, otherwise, concerned data from specific domains or resources such as search engine snippets, online forums and Wikipedia in a somewhat isolated way. Users may welcome a more general QA system for its capability to answer questions of various sources, integrated from existed specialized sub-QA engines. In this framework, question classification is the primary task. However, the current paradigms of question classification were focused on some specified type of questions, i.e. factoid questions, which are inappropriate for the general QA. In this paper, we propose a new question classification paradigm, which includes a question taxonomy suitable to the general QA and a question classifier based on MLN (Markov logic network), where rule-based methods and statistical methods are unified into a single framework in a fuzzy discriminative learning approach. Experiments show that our method outperforms traditional question classification approaches.