Papers by Gyu-Ho Shin

3 papers
Diversifying language models for lesser-studied languages and language-usage contexts: A case of second language Korean (2023.findings-emnlp)

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Challenge: Existing morpheme parsers/taggers do not work reliably and optimally for L2 data.
Approach: They train a neural network model on varying L2 datasets and measure its morpheme parsing/POS tagging performance on L2 test sets.
Outcome: The proposed model excels in domain-specific tokenization and POS tagging compared to the baseline model.
Constructing a Dependency Treebank for Second Language Learners of Korean (2024.lrec-main)

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Challenge: a manually annotated syntactic treebank is available for second language learners . the dataset includes 7,530 sentences (66,982 words; 129,333 morphemes)
Approach: They propose to manually annotate syntactic treebanks based on Universal Dependencies from Korean written data.
Outcome: The proposed dataset includes 7,530 sentences and 129,333 morphemes from Korean learners.
Polysemy Interpretation and Transformer Language Models: A Case of Korean Adverbial Postposition -(u)lo (2025.coling-main)

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Challenge: -(u)lo is a polysemy of the Korean adverbial postposition.
Approach: They analysed attention weights of a Korean pre-trained BERT model and a fine-tuned version of -(u)lo to determine their attention weight.
Outcome: The attention weights of a Korean pre-trained BERT model and a fine-tuned version show a general reduction in attention weighting and changes in the lexico-phrasal information used depending on the specific function of -(u)lo.

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