I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
Retrieving documents by plausible inference: an experimental study
Information Processing and Management: an International Journal
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Solving the word mismatch problem through automatic text analysis
Solving the word mismatch problem through automatic text analysis
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic latent semantic indexing
Proceedings of the 22nd 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
Improving query translation for cross-language information retrieval using statistical models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance based language models
Proceedings of the 24th 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
On the Use of Spreading Activation Methods in Automatic Information Retrieval
On the Use of Spreading Activation Methods in Automatic Information Retrieval
The Journal of Machine Learning Research
Cluster-based retrieval using language models
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Integrating word relationships into language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using term relationships in language models for information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Semantic term matching in axiomatic approaches to information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
LDA-based document models for ad-hoc retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Constructing better document and query models with markov chains
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Introduction to Information Retrieval
Introduction to Information Retrieval
Analyzing web text association to disambiguate abbreviation in queries
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
A term association translation model for naive bayes text classification
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Learning a Lightweight Ontology for Semantic Retrieval in Patient-Centered Information Systems
International Journal of Knowledge Management
Modeling click-through based word-pairs for web search
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Utilizing global and path information with language modelling for hierarchical text classification
Journal of Information Science
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Previous research has shown that using term associations could improve the effectiveness of information retrieval (IR) systems. However, most of the existing approaches focus on query reformulation. Document reformulation has just begun to be studied recently. In this paper, we study how to utilize term association measures to do document modeling, and what types of measures are effective in document language models. We propose a probabilistic term association measure, compare it to some traditional methods, such as the similarity co-efficient and window-based methods, in the language modeling (LM) framework, and show that significant improvements over query likelihood (QL) retrieval can be obtained. We also compare the method with state-of-the-art document modeling techniques based on latent mixture models.