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Article
The role of index compression in score-at-a-time query evaluation
This paper explores the performance of top k document retrieval with score-at-a-time query evaluation on impact-ordered indexes in main memory. To better understand execution efficiency in the context of modern p...
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Article
Document vector representations for feature extraction in multi-stage document ranking
We consider a multi-stage retrieval architecture consisting of a fast, “cheap” candidate generation stage, a feature extraction stage, and a more “expensive” reranking stage using machine-learned models. In th...
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Article
Open AccessModeling actions of PubMed users with n-gram language models
Transaction logs from online search engines are valuable for two reasons: First, they provide insight into human information-seeking behavior. Second, log data can be used to train user models, which can then ...
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Article
Open AccessSyntactic sentence compression in the biomedical domain: facilitating access to related articles
We explore a syntactic approach to sentence compression in the biomedical domain, grounded in the context of result presentation for related article search in the PubMed search engine. By automatically trimmin...
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Article
Methods for automatically evaluating answers to complex questions
Evaluation is a major driving force in advancing the state of the art in language technologies. In particular, methods for automatically assessing the quality of machine output is the preferred method for meas...