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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...

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Bibliografski detalji
Glavni autor: Aleksander Wawer
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2024-10-01
Serija:Information
Teme:
Online pristup:https://www.mdpi.com/2078-2489/15/11/664
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