Modal Dependency Parsing via Language Model Priming
A primed language model parser improves English and Chinese modal dependency parsing by 2.6% and 4.6% F-score, respectively.
Published 20221 citationPaper ↗
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Abstract
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.