Bidirectional Natural Language Parsing using Streams and Counterstreams

نویسندگان

  • Keith A. Bonawitz
  • Patrick H. Winston
  • Arthur C. Smith
چکیده

This thesis investigates the bidirectional exchange of information between linguistic and non-linguistic semantic inputs containing ambiguities. Such exchange is critical to Cognitively Complete Systems, in which collections of related representations and processes cooperate for their mutual problem-solving benefit. The exchange paradigm of reconciliation is defined, in which ambiguities and gaps in multiple input domains are simultaneously resolved. A complete architecture for implementing reconciliation between the linguistic and non-linguistic semantic domains is described, employing the Streams and Counterstreams bidirectional search technique, Combinatory Categorial Grammar, and Lexical Conceptual Semantics. This architecture has been implemented, resulting in a system that can act as an ambiguity resolving constraint between linguistic and non-linguistic inputs, with the side effect of also producing a language parsing and generating system. For example, if the system is presented with the phrase “The orange rolls,” and a non-linguistic input (perhaps from a vision subsystem) describing the presence of bread (rolls) in the scene, the system will automatically select the interpretation of the the linguistic input describing pieces of bread of orange color. Thus, ambiguity is resolved in the linguistic domain, and the statement that the rolls have the property orange can be propagated to the non-linguistic semantic domain. Thesis Supervisor: Patrick H. Winston Title: Ford Professor of Artificial Intelligence and Computer Science

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تاریخ انتشار 2003