Papers by Muskan Garg

3 papers
Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers (2022.lrec-1)

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Challenge: resurgence of multimodal datasets has attracted significant research interest, but there is no comprehensive survey for this task.
Approach: They present a survey of a multimodal dataset with different modalities according to the applications.
Outcome: The proposed datasets are available online and discuss the new frontier and motivate future researches.
An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts (2023.findings-acl)

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Challenge: 1.6 million people in England are on waiting lists for mental health care . 8 million people are not considered sick enough to qualify for help .
Approach: They construct and release an annotated dataset with human-labelled explanations and classification of IRF affecting mental disturbance on social media: TBe, PBu, and PBe.
Outcome: The proposed model can be used to identify TBe and PBU in emotional spectrum of user’s historical social media profile.
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts (2022.lrec-1)

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Challenge: Social media platforms are important resources for investigating mental health of users.
Approach: They propose a new dataset for Causal Analysis of Mental health in Social media posts (CAMS) they crawl and annotate 3155 Reddit data and reannotate a publicly available SDCNL dataset .
Outcome: The proposed model outperforms existing models on 3155 Reddit posts and 1896 instances of the dataset.

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