The nature of statistical learning theory
The nature of statistical learning theory
Learning search engine specific query transformations for question answering
Proceedings of the 10th international conference on World Wide Web
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining topic-specific concepts and definitions on the web
WWW '03 Proceedings of the 12th international conference on World Wide Web
DefScriber: a hybrid system for definitional QA
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Unsupervised learning of soft patterns for generating definitions from online news
Proceedings of the 13th international conference on World Wide Web
A new strategy for providing definitions in task-oriented dialogues
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Evaluating answers to definition questions
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
A unified statistical model for the identification of English baseNP
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
A new approach to intranet search based on information extraction
Proceedings of the 14th ACM international conference on Information and knowledge management
Detecting semantic cloaking on the web
Proceedings of the 15th international conference on World Wide Web
Reranking answers for definitional QA using language modeling
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A kernel based structure matching for web services search
Proceedings of the 16th international conference on World Wide Web
Ranking with multiple hyperplanes
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Predicting individual priorities of shared activities using support vector machines
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Learning to rank definitions to generate quizzes for interactive information presentation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Answering Definition Question: Ranking for Top-k
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
Sentence level machine translation evaluation as a ranking problem: one step aside from BLEU
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
Finding short definitions of terms on web pages
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
International Journal of Computers and Applications
Advanced structural representations for question classification and answer re-ranking
ECIR'07 Proceedings of the 29th European conference on IR research
Factoid mining based content trust model for information retrieval
PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining
Introduction to special issue on learning to rank for information retrieval
Information Retrieval
LETOR: A benchmark collection for research on learning to rank for information retrieval
Information Retrieval
Fusion of multiple features and ranking SVM for web-based English-Chinese OOV term translation
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Cost-Sensitive learning of SVM for ranking
ECML'06 Proceedings of the 17th European conference on Machine Learning
Adaptive ranking of search results by considering user's comprehension
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Can click patterns across user's query logs predict answers to definition questions?
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Hi-index | 0.00 |
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts according to their likelihood of being good definitions. This is in contrast to the traditional approaches of either generating a single combined definition or simply outputting all retrieved definitions. Definition ranking is essential for the task. Methods for performing definition ranking are proposed in this paper, which formalize the problem as either classification or ordinal regression. A specification for judging the goodness of a definition is given. We employ SVM as the classification model and Ranking SVM as the ordinal regression model respectively, such that they rank definition candidates according to their likelihood of being good definitions. Features for constructing the SVM and Ranking SVM models are defined. An enterprise search system based on this method has been developed and has been put into practical use. Experimental results indicate that the use of SVM and Ranking SVM can significantly outperform the baseline methods of using heuristic rules or employing the conventional information retrieval method of Okapi. This is true both when the answers are paragraphs and when they are sentences. Experimental results also show that SVM or Ranking SVM models trained in one domain can be adapted to another domain, indicating that generic models for definition ranking can be constructed.