28 citations · 66 across the 18 of their papers we have counts for
11 papers · 1 filter
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama models
Arefa, Mohammed Abbas Ansari, Chandni Saxena +1
This paper presents our system development for SemEval-2024 Task 3: "The Competition of Multimodal Emotion Cause Analysis in Conversations". Effectively capturing emotions in human…
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts
MSVPJ Sathvik, Surjodeep Sarkar, Chandni Saxena +2
Mental health professionals and clinicians have observed the upsurge of mental disorders due to Interpersonal Risk Factors (IRFs). To simulate the human-in-the-loop triaging scenar…
LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts
Muskan Garg, Chandni Saxena, Debabrata Samanta +1
Social media is a potential source of information that infers latent mental states through Natural Language Processing (NLP). While narrating real-life experiences, social media us…
Causal Categorization of Mental Health Posts using Transformers
Simranjeet Kaur, Ritika Bhardwaj, Aastha Jain +2
With recent developments in digitization of clinical psychology, NLP research community has revolutionized the field of mental health detection on social media. Existing research i…
NLP as a Lens for Causal Analysis and Perception Mining to Infer Mental Health on Social Media
Muskan Garg, Chandni Saxena, Usman Naseem +1
Interactions among humans on social media often convey intentions behind their actions, yielding a psychological language resource for Mental Health Analysis (MHA) of online users.…
Explainable Causal Analysis of Mental Health on Social Media Data
Chandni Saxena, Muskan Garg, Gunjan Ansari
With recent developments in Social Computing, Natural Language Processing and Clinical Psychology, the social NLP research community addresses the challenge of automation in mental…
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts
Muskan Garg, Chandni Saxena, Veena Krishnan +4
Research community has witnessed substantial growth in the detection of mental health issues and their associated reasons from analysis of social media. We introduce a new dataset…
Cross-lingual Word Embeddings in Hyperbolic Space
Chandni Saxena, Mudit Chaudhary, Helen Meng
Cross-lingual word embeddings can be applied to several natural language processing applications across multiple languages. Unlike prior works that use word embeddings based on the…
Data Augmentation for Mental Health Classification on Social Media
Gunjan Ansari, Muskan Garg, Chandni Saxena
The mental disorder of online users is determined using social media posts. The major challenge in this domain is to avail the ethical clearance for using the user generated text o…
Countering Online Hate Speech: An NLP Perspective
Mudit Chaudhary, Chandni Saxena, Helen Meng
Online hate speech has caught everyone's attention from the news related to the COVID-19 pandemic, US elections, and worldwide protests. Online toxicity - an umbrella term for onli…
Aspect Term Extraction using Graph-based Semi-Supervised Learning
Gunjan Ansari, Chandni Saxena, Tanvir Ahmad +1
Aspect based Sentiment Analysis is a major subarea of sentiment analysis. Many supervised and unsupervised approaches have been proposed in the past for detecting and analyzing the…