Paper: Distributed Word Representation Learning for Cross-Lingual Dependency Parsing

ACL ID W14-1613
Title Distributed Word Representation Learning for Cross-Lingual Dependency Parsing
Venue International Conference on Computational Natural Language Learning
Session
Year 2014
Authors

This paper proposes to learn language- independent word representations to ad- dress cross-lingual dependency parsing, which aims to predict the dependency parsing trees for sentences in the target language by training a dependency parser with labeled sentences from a source lan- guage. We first combine all sentences from both languages to induce real-valued distributed representation of words under a deep neural network architecture, which is expected to capture semantic similari- ties of words not only within the same lan- guage but also across different languages. We then use the induced interlingual word representation as augmenting features to train a delexicalized dependency parser on labeled sentences in the source language and apply it to the target sentences. To in- vestigate the ...