Few-Shot Methods for Aspect-Level Sentiment Analysis
In this paper, we explore the approaches to the problem of cross-domain few-shot classification of sentiment aspects. By cross-domain few-shot, we mean a setting where the model is trained on large data in one domain (for example, hotel reviews) and is intended to perform on another (for example, re...
| Published in: | Information |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Online Access: | https://www.mdpi.com/2078-2489/15/11/664 |