Improving zero-shot learning baselines with commonsense knowledge

Zero-shot learning — the problem of training and testing on a completely disjoint set of classes — relies greatly on its ability to transfer knowledge from train classes to test classes. Traditionally semantic embeddings consisting of human-defined attributes or distributed word embeddings are used...

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Bibliographic Details
Main Authors: Roy, Abhinaba, Ghosal, Deepanway, Cambria, Erik, Majumder, Navonil, Mihalcea, Rada, Poria, Soujanya
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/170538
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Institution: Nanyang Technological University
Language: English
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