Class-based n-gram models of natural language
Computational Linguistics
TREC and TIPSTER experiments with INQUERY
TREC-2 Proceedings of the second conference on Text retrieval conference
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Word clustering and disambiguation based on co-occurrence data
Natural Language Engineering
Dependence language model for information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
A method for query expansion using a hierarchy of clusters
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Exploring syntactic relation patterns for question answering
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Automatic word clustering for text categorization using global information
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Effective term weighting for sentence retrieval
ECDL'10 Proceedings of the 14th European conference on Research and advanced technology for digital libraries
Integrating history-length interpolation and classes in language modeling
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Informative sentence retrieval for domain specific terminologies
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Trained trigger language model for sentence retrieval in QA: bridging the vocabulary gap
Proceedings of the 20th ACM international conference on Information and knowledge management
Computational Linguistics
Rel-grams: a probabilistic model of relations in text
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
Class-Based language models for chinese-english parallel corpus
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
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In this paper we propose a term clustering approach to improve the performance of sentence retrieval in Question Answering (QA) systems. As the search in question answering is conducted over smaller segments of data than in a document retrieval task, the problems of data sparsity and exact matching become more critical. In this paper we propose Language Modeling (LM) techniques to overcome such problems and improve the sentence retrieval performance. Our proposed methods include building class-based models by term clustering, and then employing higher order n-grams with the new class-based model. We report our experiments on the TREC 2007 questions from QA track. The results show that the methods investigated here enhanced the mean average precision of sentence retrieval from 23.62% to 29.91%.