Papers by Xiaomeng Pan
Zuo Zhuan Ancient Chinese Dataset for Word Sense Disambiguation (2022.naacl-srw)
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| Challenge: | Word Sense Disambiguation (WSD) is a core task in natural language processing . ancient Chinese has rarely been used in WSD tasks due to lack of a dataset . |
| Approach: | They annotate ancient Chinese text Zuo Zhuan using a copyright-free dictionary . they apply a method to find the most appropriate sense in a context using k-NN . |
| Outcome: | The proposed dataset will be available on GitHub. |
Query Generation Using GPT-3 for CLIP-Based Word Sense Disambiguation for Image Retrieval (2023.starsem-1)
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| Challenge: | Existing studies show that human-like prompts with quotes benefit both CLIP and GPT-3 as implicit word sense disambiguation components. |
| Approach: | They propose using the GPT-3 as a query generator for the backend of CLIP as an implicit word sense disambiguation component for the SemEval 2023 shared task Visual Word Sense Disambiguation. |
| Outcome: | The proposed query generator for CLIP is an implicit word sense disambiguation component for the SemEval 2023 shared task Visual Word Sense Disambiguation (VWSD). human-like prompts adapted for WSD with quotes benefit both CLIP and GPT-3, whereas plain phrases or poorly templated prompts give the worst results. |