Jointly Parse and Fragment Ungrammatical Sentences
Abstract
This paper is about detecting incorrect arcs in a dependency parse for sentences that contain grammar mistakes. Pruning these arcs results in well-formed parse fragments that can still be useful for downstream applications. We propose two automatic methods that jointly parse the ungrammatical sentence and prune the incorrect arcs: a parser retrained on a parallel corpus of ungrammatical sentences with their corrections, and a sequence-to-sequence method. Experimental results show that the proposed strategies are promising for detecting incorrect syntactic dependencies as well as incorrect semantic dependencies.
Cite
Text
Hashemi and Hwa. "Jointly Parse and Fragment Ungrammatical Sentences." AAAI Conference on Artificial Intelligence, 2018. doi:10.1609/AAAI.V32I1.11998Markdown
[Hashemi and Hwa. "Jointly Parse and Fragment Ungrammatical Sentences." AAAI Conference on Artificial Intelligence, 2018.](https://mlanthology.org/aaai/2018/hashemi2018aaai-jointly/) doi:10.1609/AAAI.V32I1.11998BibTeX
@inproceedings{hashemi2018aaai-jointly,
title = {{Jointly Parse and Fragment Ungrammatical Sentences}},
author = {Hashemi, Homa B. and Hwa, Rebecca},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2018},
pages = {5165-5172},
doi = {10.1609/AAAI.V32I1.11998},
url = {https://mlanthology.org/aaai/2018/hashemi2018aaai-jointly/}
}