7 citations · 16 across the 8 of their papers we have counts for
8 papers
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…
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…
Auto-Select Reading Passages in English Assessment Tests?
Bruce W. Lee, Jason H. Lee
We show a method to auto-select reading passages in English assessment tests and share some key insights that can be helpful in related fields. In specifics, we prove that finding…
Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
Bruce W. Lee, Yoo Sung Jang, Jason Hyung-Jong Lee
We report two essential improvements in readability assessment: 1. three novel features in advanced semantics and 2. the timely evidence that traditional ML models (e.g. Random For…
LXPER Index 2.0: Improving Text Readability Assessment Model for L2 English Students in Korea
Bruce W. Lee, Jason Lee
Developing a text readability assessment model specifically for texts in a foreign English Language Training (ELT) curriculum has never had much attention in the field of Natural L…
LXPER Index: a curriculum-specific text readability assessment model for EFL students in Korea
Bruce W. Lee, Jason Hyung-Jong Lee
Automatic readability assessment is one of the most important applications of Natural Language Processing (NLP) in education. Since automatic readability assessment allows the fast…