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Showing 1 to 3 of 3 for “"Relation search"”.

  1. Entity-relation search: context pattern driven relation ranking

    A traditional page link-based search system is not adequate for users intending to query data efficiently. For instance, emergent phenomena reveal that some entity-based search engines, such as EntityRank, directly return answers (target entities) to users instead of web pages. Most of the time, …

    uiuc Repository record for Entity-relation search: context pattern driven relation ranking (opens in a new tab)

  2. Entity-relation search: context pattern driven extraction and indexing

    Our research focuses on searching relations between entities with context constraints. In particular, we are interested in efficiently searching for the relations among medical entities (e.g. diseases, chemicals, species, genes, or mutations) in a professional medical corpus. Existing relation

    uiuc Repository record for Entity-relation search: context pattern driven extraction and indexing (opens in a new tab)

  3. A Framework for Combining Logical and Probabilistic Models

    … networks has attracted the interest of many researchers. We review many techniques for integration of first-order logic and Bayesian networks and propose a new framework that exploits the translation of logical knowledge into Bayesian networks. We present a new search algorithm, relation

    south-carolina Repository record for A Framework for Combining Logical and Probabilistic Models (opens in a new tab)