Search Results for author: Simra Shahid

Found 6 papers, 3 papers with code

Identification of Emergency Blood Donation Request on Twitter

1 code implementation WS 2018 Puneet Mathur, Meghna Ayyar, Sahil Chopra, Simra Shahid, Laiba Mehnaz, Rajiv Shah

Social media-based text mining in healthcare has received special attention in recent times due to the enhanced accessibility of social media sites like Twitter.

Suggestion Mining from Online Reviews using ULMFiT

1 code implementation19 Apr 2019 Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal

In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums.

General Classification Language Modelling +4

Identifying Offensive Posts and Targeted Offense from Twitter

no code implementations19 Apr 2019 Haimin Zhang, Debanjan Mahata, Simra Shahid, Laiba Mehnaz, Sarthak Anand, Yaman Singla, Rajiv Ratn Shah, Karan Uppal

In this paper we present our approach and the system description for Sub-task A and Sub Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social Media.

Devising Malware Characterstics using Transformers

no code implementations23 May 2020 Simra Shahid, Tanmay Singh, Yash Sharma, Kapil Sharma

With the increasing number of cybersecurity threats, it becomes more difficult for researchers to skim through the security reports for malware analysis.

Malware Analysis

HyHTM: Hyperbolic Geometry based Hierarchical Topic Models

1 code implementation16 May 2023 Simra Shahid, Tanay Anand, Nikitha Srikanth, Sumit Bhatia, Balaji Krishnamurthy, Nikaash Puri

We present HyHTM - a Hyperbolic geometry based Hierarchical Topic Models - that addresses these limitations by incorporating hierarchical information from hyperbolic geometry to explicitly model hierarchies in topic models.

Topic Models

All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation

no code implementations9 Nov 2023 Pragyan Banerjee, Abhinav Java, Surgan Jandial, Simra Shahid, Shaz Furniturewala, Balaji Krishnamurthy, Sumit Bhatia

Fairness in Language Models (LMs) remains a longstanding challenge, given the inherent biases in training data that can be perpetuated by models and affect the downstream tasks.

Fairness Language Modelling +1

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