Search Results for author: Dan Gillick

Found 3 papers, 1 papers with code

Multilingual Language Processing From Bytes

no code implementations NAACL 2016 Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya

We describe an LSTM-based model which we call Byte-to-Span (BTS) that reads text as bytes and outputs span annotations of the form [start, length, label] where start positions, lengths, and labels are separate entries in our vocabulary.

named-entity-recognition Named Entity Recognition +2

Context-Dependent Fine-Grained Entity Type Tagging

4 code implementations3 Dec 2014 Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh

We propose the task of context-dependent fine type tagging, where the set of acceptable labels for a mention is restricted to only those deducible from the local context (e. g. sentence or document).

Sentence Vocal Bursts Type Prediction

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