Papers by Bill Noble
More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages (2024.emnlp-main)
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Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte Im Walde, Nina Tahmasebi
| Challenge: | Word Usage Graphs (WUGs) represent word sense clusters from simple pairwise word use judgments. |
| Approach: | They propose to use a weighted graph to represent human semantic proximity judgments for pairs of word uses to infer word sense clusters from simple pairwise word use judgments. |
| Outcome: | The proposed approach can be applied in a Word Sense Induction (WSI) setting or for Word sense disambiguation (WSD) it is the first and to date largest manually annotated, diachronic WUG dataset. |
Describe Me an Auklet: Generating Grounded Perceptual Category Descriptions (2023.emnlp-main)
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| Challenge: | Learning and using abstract perceptual concepts is under-investigated in the language-and-vision field. |
| Approach: | They propose a framework for testing category-level perceptual grounding in multi-modal language models by using separate neural networks to generate and interpret descriptions of visual categories. |
| Outcome: | The proposed framework compares prototype- and interpretation-based representations with the performance of the generation model and the interpretation model, which is an indicator of perceptual grounding. |
Semantic shift in social networks (2021.starsem-1)
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| Challenge: | lexical semantic change manifests differently across different communities, according to a new study . social network analysis is a tool of sociolinguists studying variation and change . |
| Approach: | They use distributional methods to quantify lexical semantic change and induce a social network on communities based on interactions between members. |
| Outcome: | The proposed method is based on interactions between members and the community. |