Authors
Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton
Publication date
2015
Conference
Advances in Neural Information Processing Systems
Pages
2773-2781
Description
Abstract Syntactic constituency parsing is a fundamental problem in naturallanguage
processing which has been the subject of intensive researchand engineering for decades.
As a result, the most accurate parsersare domain specific, complex, and inefficient. In this
paper we showthat the domain agnostic attention-enhanced sequence-to-sequence
modelachieves state-of-the-art results on the most widely used syntacticconstituency parsing
dataset, when trained on a large synthetic corpusthat was annotated using existing ...
processing which has been the subject of intensive researchand engineering for decades.
As a result, the most accurate parsersare domain specific, complex, and inefficient. In this
paper we showthat the domain agnostic attention-enhanced sequence-to-sequence
modelachieves state-of-the-art results on the most widely used syntacticconstituency parsing
dataset, when trained on a large synthetic corpusthat was annotated using existing ...
Total citations
Scholar articles
O Vinyals, Ł Kaiser, T Koo, S Petrov, I Sutskever… - Advances in Neural Information Processing Systems, 2015
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