Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies

Ryan Hornby; Clark Taylor; Jungyeul Park

2017 CoNLL CoNLL 2017

Corpus Selection Approaches for Multilingual Parsing from Raw Text to Universal Dependencies

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Interdisciplinary and Natural Language Processing

🐣 Hot Topic Early Bird - training data

Authors

Ryan Hornby, Clark Taylor, Jungyeul Park

Topics

Natural Language Processing > Understanding > Parsing Natural Language Processing > Resources & Methods > Multilingual NLP Interdisciplinary > Linguistics > Computational Linguistics Machine Learning > Core Methods > Feature Selection Natural Language Processing > Applications > Natural Language Inference

Keywords

universal dependencies dependency parsing training data similarity measure corpus selection universal dependency multilingual parsing training data reduction

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