A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating evaluation measure stability
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Bridging the lexical chasm: statistical approaches to answer-finding
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A systematic comparison of various statistical alignment models
Computational Linguistics
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Finding similar questions in large question and answer archives
Proceedings of the 14th ACM international conference on Information and knowledge management
Introduction to Information Retrieval
Introduction to Information Retrieval
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 2 - Volume 2
Modeling semantic relevance for question-answer pairs in web social communities
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Query rewriting using monolingual statistical machine translation
Computational Linguistics
Phrase-based translation model for question retrieval in community question answer archives
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Deep Learning Approaches to Semantic Relevance Modeling for Chinese Question-Answer Pairs
ACM Transactions on Asian Language Information Processing (TALIP)
Proceedings of the 20th ACM international conference on Information and knowledge management
Entity based translation language model
Proceedings of the 21st international conference companion on World Wide Web
Full machine translation for factoid question answering
EACL 2012 Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
Translation model based cross-lingual language model adaptation: from word models to phrase models
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Question-answer topic model for question retrieval in community question answering
Proceedings of the 21st ACM international conference on Information and knowledge management
Towards faster and better retrieval models for question search
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Improving question retrieval in community question answering using world knowledge
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Lexical gaps between queries and questions (documents) have been a major issue in question retrieval on large online question and answer (Q&A) collections. Previous studies address the issue by implicitly expanding queries with the help of translation models pre-constructed using statistical techniques. However, since it is possible for unimportant words (e.g., non-topical words, common words) to be included in the translation models, a lack of noise control on the models can cause degradation of retrieval performance. This paper investigates a number of empirical methods for eliminating unimportant words in order to construct compact translation models for retrieval purposes. Experiments conducted on a real world Q&A collection show that substantial improvements in retrieval performance can be achieved by using compact translation models.