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Found 5 papers, 1 papers with code
Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations
With mental health as a problem domain in NLP, the bulk of contemporary literature revolves around building better mental illness prediction models.
Leveraging Emotion-specific Features to Improve Transformer Performance for Emotion Classification
This paper describes the approach to the Emotion Classification shared task held at WASSA 2022 by team PVGs AI Club.
Multitask Finetuning for Improving Neural Machine Translation in Indian Languages
Transformer based language models have led to impressive results across all domains in Natural Language Processing.
Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification
The proposed system achieves a F1-sarcastic score of 0. 62 and a F-PN score of 0. 715 for the sarcasm and sentiment detection tasks, respectively.
PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction
Leveraging the textual data, demographic features, psychological test score, and the intrinsic interdependencies of primitive emotions and empathy, we propose a multi-input, multi-task framework for the task of empathy score prediction.
