Papers by Mika Hasegawa
Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation (L18-1)
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| Challenge: | Distributional hypothesis-based word representations lack perceptual and empirical knowledge. |
| Approach: | They evaluate the effectiveness of social image tags in generating word embeddings . they find that generated word embeds exhibit somewhat different behaviors from corpus-originated representations - authors . |
| Outcome: | The generated word embeddings exhibit comparable performance with corpus-originated representations. |
Word Attribute Prediction Enhanced by Lexical Entailment Tasks (2020.lrec-1)
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| Challenge: | a semantic attribute is associated with a designated dimension in attribute-based vector representations . semantic attributes are created by psychological experimental settings involving human annotators . a conceptual attribute of a concept dictates a specific semantic aspect of the concept . |
| Approach: | They propose a two-stage neural network architecture that fine-tunes attribute representations by employing supervised entailment tasks. |
| Outcome: | The proposed method improves performance of semantic/visual similarity/relatedness evaluation tasks. |