Andrew McCallum

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Andrew McCallum is a person.



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  • (McCallum, 2016) ⇒ Andrew McCallum. (2016). “Universal Schema for Representation and Reasoning from Natural Language.” Invited Talk at the 5th Workshop on Automated Knowledge Base Construction (AKBC-2016).
    • ABSTRACT: Interest in creating KBs has often been motivated by the desire to support reasoning on information that would otherwise be expressed in noisy free text and spread across multiple documents. However, distilling knowledge into a restricted KB can lose important semantic diversity and context. Traditionally a KB has a single hand-designed schema of entity- and relation-types. In contrast, universal schema operates on the union of many input schemas, including a great diversity of free textual expressions. However, previous work on universal schema still distills many textual contexts of the relation between an entity pair into a single embedded vector. In this talk I will introduce universal schema, then describe recent work leading toward (a) having the textual entity- and relation-mentions themselves represent the KB, (b) using universal schema and neural attention models to provide generalization, (c) logical reasoning on top of this text-KB, and (d) future work on reinforcement learning to guide the search for proofs of the answers to queries.

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