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Found 2 papers, 1 papers with code
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis
In this work, we argue that two kinds of gaps, i. e., domain gap and objective gap, hinder the transfer of knowledge from pre-training language models (PLMs) to ABSA tasks.
Ranked #1 on
Aspect Term Extraction and Sentiment Classification
on SemEval
(using extra training data)
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+3
Second-order Non-local Attention Networks for Person Re-identification
Recent efforts have shown promising results for person re-identification by designing part-based architectures to allow a neural network to learn discriminative representations from semantically coherent parts.
