Probabilistic reasoning in intelligent systems: networks of plausible inference
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Inference networks for document retrieval
Inference networks for document retrieval
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ACM Transactions on Information Systems (TOIS)
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Restricted inflectional form generation in management of morphological keyword variation
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Automatic feature selection in the markov random field model for information retrieval
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Improving website search with server log analysis and multiple evidence combination
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Learning structured concept-segments for interactive video retrieval
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Effect of OCR error correction on Arabic retrieval
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Discriminative probabilistic models for passage based retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Multiple Evidence Combination in Web Site Search Based on Users' Access Histories
UM '07 Proceedings of the 11th international conference on User Modeling
The Garnata Information Retrieval System at INEX'07
Focused Access to XML Documents
CMIC at INEX 2007: Book Search Track
Focused Access to XML Documents
Automatic Generation of Frequent Case Forms of Query Keywords in Text Retrieval
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Simultaneous multilingual search for translingual information retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
A generative retrieval model for structured documents
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Book search: indexing the valuable parts
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Automatic query structuring from sentences for Japanese web retrieval
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Adaptive subjective triggers for opinionated document retrieval
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Beyond bags of words: modeling implicit user preferences in information retrieval
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Efficient Language-Independent Retrieval of Printed Documents without OCR
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An ontology-based mining system for competitive intelligence in neuroscience
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ICE-TEA: in-context expansion and translation of English abbreviations
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Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Document vector representations for feature extraction in multi-stage document ranking
Information Retrieval
Latent word context model for information retrieval
Information Retrieval
Semantic concept-enriched dependence model for medical information retrieval
Journal of Biomedical Informatics
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The inference network retrieval model, as implemented in the InQuery search engine, allows for richly structured queries. However, it incorporates a form of ad hoc tf.idf estimates for word probabilities. Language modeling offers more formal estimation techniques. In this paper we combine the language modeling and inference network approaches into a single framework. The resulting model allows structured queries to be evaluated using language modeling estimates. We explore the issues involved, such as combining beliefs and smoothing of proximity nodes. Experimental results are presented comparing the query likelihood model, the InQuery system, and our new model. The results reaffirm that high quality structured queries outperform unstructured queries and show that our system consistently achieves higher average precision than InQuery.