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Found 6 papers, 3 papers with code
XPrompt: Exploring the Extreme of Prompt Tuning
Prompt tuning learns soft prompts to condition frozen Pre-trained Language Models (PLMs) for performing downstream tasks in a parameter-efficient manner.
Structural Bias for Aspect Sentiment Triplet Extraction
Thus, a natural question arises: Is structural bias still a necessity in the context of PLMs?
A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition
Multimodal emotion recognition in conversations (mERC) is an active research topic in natural language processing (NLP), which aims to predict human's emotional states in communications of multiple modalities, e, g., natural language and facial gestures.
Aspect-specific Context Modeling for Aspect-based Sentiment Analysis
Extensive experimental results on standard and adversarial benchmarks for SC and OE demonstrate the effectiveness and robustness of the proposed method, yielding new state-of-the-art performance on OE and competitive performance on SC.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Adaptable Text Matching via Meta-Weight Regulator
Neural text matching models have been used in a range of applications such as question answering and natural language inference, and have yielded a good performance.
Exploiting Position Bias for Robust Aspect Sentiment Classification
Aspect sentiment classification (ASC) aims at determining sentiments expressed towards different aspects in a sentence.
