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Showing 1 to 3 of 3 for “"knowledge base completion"”.

  1. Knowledge-based learning: Integration of deductive and inductive learning for knowledge base completion

    … learn effectively, a system needs to use all the knowledge that is available. Explanation-based learning and similarity-based learning operate over a domain theory and a set of examples, respectively, but neither approach makes extensive use of both forms of knowledge. Many problems in engineering …

    uiuc Repository record for Knowledge-based learning: Integration of deductive and inductive learning for knowledge base completion (opens in a new tab)

  2. Semantic modeling of the natural language of Wikipedia annotations

    Knowledge bases (KB) store relational facts and constitute a significant resource for a variety of natural language processing (NLP) tasks. Improving their coverage and refining the relations is a basic and pressing research effort. In this thesis we propose a novel approach towards this canonical …

    uiuc Repository record for Semantic modeling of the natural language of Wikipedia annotations (opens in a new tab)

  3. Cold-start universal information extraction

    … are fundamental questions asked when gathering knowledge about and understanding a concept, topic, or event. The answers to these questions underpin the key information conveyed in the overwhelming majority, if not all, of language-based communication. At the core of my research in Information …

    uiuc Repository record for Cold-start universal information extraction (opens in a new tab)