7 citations · 19 across the 11 of their papers we have counts for
11 papers
Language Models Don't Learn the Physical Manifestation of Language
Bruce W. Lee, JaeHyuk Lim
We argue that language-only models don't learn the physical manifestation of language. We present an empirical investigation of visual-auditory properties of language through a ser…
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…
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: 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…
A low-cost cryogenic temperature measurement system using Arduino microcontroller
Woong Sung Lee
We developed a simple, flexible, low-cost, and computer-controlled cryogenic temperature measurement system for undergraduate instructional laboratories. An Arduino microcontroller…
Simplifying the vacuum bazooka
Junghwan Lee, Woong Sung Lee, Eunsoo Shin
This paper provides a simplified explanation of the vacuum bazooka through diagrams and builds a theoretical model only using concepts found in introductory mechanics. Our theory s…