Modal Dependency Parsing via Language Model Priming
Jiarui Yao, Nianwen Xue, Bonan Min · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · 2022
The task of modal dependency parsing aims to parse a text into its modal dependency structure, which is a representation for the factuality of events in the text.We design a modal dependency parser that is based on priming pre-trained language models, and evaluate the parser on two data sets.Compared to baselines, we show an improvement of 2.6% in F-score for English and 4.6% for Chinese.To the best of our knowledge, this is also the first work on Chinese modal dependency parsing.