News From the Field
Machines that learn language more like kids do
October 31, 2018
This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts.In a paper being presented at this week's Empirical Methods in Natural Language Processing conference, the Massachusetts Institute of Technology researchers describe a parser that learns through observation to more closely mimic a child's language-acquisition process, which could greatly extend the parser's capabilities. Credit: Tarik Tosun, Cornell University Full Story
Massachusetts Institute of Technology
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