Article | Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017), September 18-20, 2017, UniversitĂ  di Pisa, Italy | Fully Delexicalized Contexts for Syntax-Based Word Embeddings
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Title:
Fully Delexicalized Contexts for Syntax-Based Word Embeddings
Author:
Jenna Kanerva: TurkuNLP Group, University of Turku, Graduate School (UTUGS), Turku, Finland Sampo Pyysalo: Language Technology Lab DTAL, University of Cambridge, United Kingdom Filip Ginter: TurkuNLP Group, University of Turku, Finland
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Full text (pdf)
Year:
2017
Conference:
Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017), September 18-20, 2017, UniversitĂ  di Pisa, Italy
Issue:
139
Article no.:
011
Pages:
83-91
No. of pages:
9
Publication type:
Abstract and Fulltext
Published:
2017-09-13
ISBN:
978-91-7685-467-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Word embeddings induced from large amounts of unannotated text are a key resource for many NLP tasks. Several recent studies have proposed extensions of the basic distributional semantics approach where words form the context of other words, adding features from e.g. syntactic dependencies. In this study, we look in a different direction, exploring models that leave words out entirely, instead basing the context representation exclusively on syntactic and morphological features. Remarkably, we find that the resulting vectors still capture clear semantic aspects of words in addition to syntactic ones. We assess the properties of the vectors using both intrinsic and extrinsic evaluations, demonstrating in a multilingual parsing experiment using 55 treebanks that fully delexicalized syntax-based word representations give a higher average parsing performance than conventional word2vec embeddings.

Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017), September 18-20, 2017, UniversitĂ  di Pisa, Italy

Author:
Jenna Kanerva, Sampo Pyysalo, Filip Ginter
Title:
Fully Delexicalized Contexts for Syntax-Based Word Embeddings
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Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017), September 18-20, 2017, UniversitĂ  di Pisa, Italy

Author:
Jenna Kanerva, Sampo Pyysalo, Filip Ginter
Title:
Fully Delexicalized Contexts for Syntax-Based Word Embeddings
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Last updated: 2017-02-21