no code implementations • 15 Mar 2017 • Chris Alberti, Daniel Andor, Ivan Bogatyy, Michael Collins, Dan Gillick, Lingpeng Kong, Terry Koo, Ji Ma, Mark Omernick, Slav Petrov, Chayut Thanapirom, Zora Tung, David Weiss
We describe a baseline dependency parsing system for the CoNLL2017 Shared Task.
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.
4 code implementations • 3 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).