Papers by Wonkee Lee
From Documents to Segments: A Contextual Reformulation for Topic Assignment (2026.findings-acl)
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| Challenge: | Traditional topic modeling treats each document as a single, coherent unit of topic. |
| Approach: | They propose a paradigm that redefines topic assignment at the level of segments . they propose 'segment intrusion task' to extend word intrusion to the span level . |
| Outcome: | The proposed paradigm improves topic purity, interpretability and applicability to multi-theme corpora. |
Advancing Semi-Supervised Learning for Automatic Post-Editing: Data-Synthesis by Mask-Infilling with Erroneous Terms (2024.lrec-main)
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| Challenge: | Semi-supervised learning that leverages synthetic data for training has been widely adopted for developing automatic post-editing models due to the lack of training data. |
| Approach: | They propose a method that uses masked tokens to generate a noisy text from a clean text by infilling mangled tokens with erroneous tokens. |
| Outcome: | The proposed method mimics translation errors found in real data and generates a noisy text from a clean text by infilling masked tokens with erroneous tokens. |