Papers by Pulkit Parikh
Leveraging Mental Health Forums for User-level Depression Detection on Social Media (2022.lrec-1)
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| Challenge: | Existing methods to detect depression on social media platforms are limited due to the vastness of social media content and the lack of linguistic features. |
| Approach: | They propose to optimize the performance of user-level depression classification to lessen the burden on computational resources. |
| Outcome: | The proposed system outperforms baselines across standard metrics for the task of depression detection in text. |
Multi-label Categorization of Accounts of Sexism using a Neural Framework (D19-1)
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Pulkit Parikh, Harika Abburi, Pinkesh Badjatiya, Radhika Krishnan, Niyati Chhaya, Manish Gupta, Vasudeva Varma
| Challenge: | Sexism manifests in blatant as well as subtle ways, authors say . existing work on sexism classification has limitations in terms of categories used . authors: categorization of accounts of sexist behavior can aid in countering sextism . |
| Approach: | They propose a neural solution that can combine sentence representations with distributional and linguistic word embeddings. |
| Outcome: | a new method outperforms deep learning and traditional methods by an appreciable margin . the proposed method outpersforms several deep learning as well as traditional baselines by an approval margin compared to baselines . |
Semi-supervised Multi-task Learning for Multi-label Fine-grained Sexism Classification (2020.coling-main)
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| Challenge: | Sexism is a form of oppression based on one's sex and is reported online in numerous ways. |
| Approach: | They propose a multi-task approach for fine-grained multi-label sexism classification that leverages several supporting tasks without incurring manual labeling cost. |
| Outcome: | The proposed method outperforms the state-of-the-art for multi-label sexism classification on a recently released dataset across five standard metrics. |