A Walk-based Semantically Enriched Tree Kernel Over Distributed Word Representations

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  • Shashank Srivastava
  • Dirk Hovy
We propose a walk-based graph kernel that generalizes the notion of tree-kernels to continuous spaces. Our proposed approach subsumes a general framework for word-similarity, and in particular, provides a flexible way to incorporate distributed representations. Using vector representations, such an approach captures both distributional semantic similarities among words as well as the structural relations between them (encoded as the structure of the parse tree). We show an efficient formulation to compute this kernel using simple matrix multiplication operations. We present our results on three diverse NLP tasks, showing state-of-the-art results.
OriginalsprogEngelsk
TitelProceedings of EMNLP 2013
ForlagAssociation for Computational Linguistics
Publikationsdato2013
Sider1411-1416
ISBN (Elektronisk)978-1-937284-97-8
StatusUdgivet - 2013

ID: 105105673