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J. Lee

8 papers hereh-index 6199 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author8

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL8
same name
  • J. Lee — 409 papers
  • J. Lee — 203 papers
  • J. Lee — 179 papers, h 72
  • J. Lee — 74 papers, h 0
  • J. Lee — 70 papers, h 57
  • J. Lee — 63 papers, h 22

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedLXPER Index: a curriculum-specific text readability assessment model for EFL students in Korea

7 citations · 16 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

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…

cs.CL2023★ 1 cited

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…

cs.CL2023★ 1 cited

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…

cs.CL2023★ 4 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.