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  1. 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...

    Jimmy Lin, Andrew Trotman in Information Retrieval Journal (2017)

  2. 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...

    Nima Asadi, Jimmy Lin in Information Retrieval (2013)

  3. Article

    Open Access

    Modeling 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 ...

    Jimmy Lin, W. John Wilbur in Information Retrieval (2009)

  4. Article

    Open Access

    Syntactic 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...

    Jimmy Lin, W. John Wilbur in Information Retrieval (2007)

  5. 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...

    Jimmy Lin, Dina Demner-Fushman in Information Retrieval (2006)