7 citations · 19 across the 11 of their papers we have counts for
5 papers · 2 filters
A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification
Bruce W. Lee, BongSeok Yang, Jason Hyung-Jong Lee
Though discourse parsing can help multiple NLP fields, there has been no wide language model search done on implicit discourse relation classification. This hinders researchers fro…
Linguistic Properties of Truthful Response
Bruce W. Lee, Benedict Florance Arockiaraj, Helen Jin
We investigate the phenomenon of an LLM's untruthful response using a large set of 220 handcrafted linguistic features. We focus on GPT-3 models and find that the linguistic profil…
LFTK: Handcrafted Features in Computational Linguistics
Bruce W. Lee, Jason Hyung-Jong Lee
Past research has identified a rich set of handcrafted linguistic features that can potentially assist various tasks. However, their extensive number makes it difficult to effectiv…
Prompt-based Learning for Text Readability Assessment
Bruce W. Lee, Jason Hyung-Jong Lee
We propose the novel adaptation of a pre-trained seq2seq model for readability assessment. We prove that a seq2seq model - T5 or BART - can be adapted to discern which text is more…
Traditional Readability Formulas Compared for English
Bruce W. Lee, Jason Hyung-Jong Lee
Traditional English readability formulas, or equations, were largely developed in the 20th century. Nonetheless, many researchers still rely on them for various NLP applications. T…