A System for Multilingual Dependency Parsing based on Bidirectional LSTM Feature Representations


In this paper, we present our multilingual dependency parser developed for the CoNLL 2017 UD Shared Task dealing with “Multilingual Parsing from Raw Text to Universal Dependencies”1. Our parser extends the monolingual BIST-parser as a multi-source multilingual trainable parser. Thanks to multilingual word embeddings and one hot encodings for languages, our… (More)
DOI: 10.18653/v1/K17-3006


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