most citedImproving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2023★ 1 cited

Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition

Taehee Jeon, Bongseok Yang, Changhwan Kim +1

We introduce a morpheme-aware subword tokenization method that utilizes sub-character decomposition to address the challenges of applying Byte Pair Encoding (BPE) to Korean, a lang…

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…