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Found 12 papers, 4 papers with code
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models
However, the complexities of these diverse modalities pose challenges for developing an efficient multimodal emotion cause analysis (ECA) system.
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts
Mental health professionals and clinicians have observed the upsurge of mental disorders due to Interpersonal Risk Factors (IRFs).
LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts
Social media is a potential source of information that infers latent mental states through Natural Language Processing (NLP).
NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Media
To bridge this gap, we posit two significant dimensions: (1) Causal analysis to illustrate a cause and effect relationship in the user generated text; (2) Perception mining to infer psychological perspectives of social effects on online users intentions.
Causal Categorization of Mental Health Posts using Transformers
With recent developments in digitization of clinical psychology, NLP research community has revolutionized the field of mental health detection on social media.
A Methodology for the Prediction of Drug Target Interaction using CDK Descriptors
We target to evaluate performance of DTI prediction models using CDK descriptors.
Explainable Causal Analysis of Mental Health on Social Media Data
In this task, we fine tune the classifiers and find explanations for multi-class causal categorization of mental illness on social media with LIME and Integrated Gradient (IG) methods.
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts
We introduce a new dataset for Causal Analysis of Mental health issues in Social media posts (CAMS).
Cross-lingual Word Embeddings in Hyperbolic Space
Cross-lingual word embeddings can be applied to several natural language processing applications across multiple languages.
Data Augmentation for Mental Health Classification on Social Media
To handle this issue, we have studied the effect of data augmentation techniques on domain specific user generated text for mental health classification.
Countering Online Hate Speech: An NLP Perspective
This paper presents a holistic conceptual framework on hate-speech NLP countering methods along with a thorough survey on the current progress of NLP for countering online hate speech.
Aspect Term Extraction using Graph-based Semi-Supervised Learning
Aspect based Sentiment Analysis is a major subarea of sentiment analysis.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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