• DOI:10.3115/v1/D14-1108
Corpus ID: 4981128

A Dependency Parser for Tweets

@inproceedings{Kong2014ADP,
  title={A Dependency Parser for Tweets},
  author={Lingpeng Kong and Nathan Schneider and Swabha Swayamdipta and Archna Bhatia and Chris Dyer and Noah A. Smith},
  booktitle={EMNLP},
  year={2014}
}

Lingpeng Kong, Nathan Schneider, +3 authors Noah A. Smith

Published in EMNLP 2014

Computer Science

We describe a new dependency parser for English tweets, TWEEBOPARSER. The parser builds on several contributions: new syntactic annotations for a corpus of tweets (TWEEBANK), with conventions informed by the domain; adaptations to a statistical parsing algorithm; and a new approach to exploiting out-of-domain Penn Treebank data. Our experiments show that the parser achieves over 80% unlabeled attachment accuracy on our new, high-quality test set and measure the benefit of our contributions. Our… CONTINUE READING

View PDF

Save to Library

Create Alert

Cite

Launch Research Feed