Rajiv Ratn Shah

Identifying Offensive Posts and Targeted Offense from Twitter

2019 · arXiv (Cornell University)

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. Sub-task A involves identifying …

Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment

2019

Arijit Ghosh Chowdhury, Ramit Sawhney, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop. 2019.

Semi-Supervised Iterative Approach for Domain-Specific Complaint Detection in Social Media

2020

In this paper, we present a semi-supervised bootstrapping approach to detect product or service related complaints in social media. Our approach begins with a small collection of annotated samples which are used to identify a …

De-STT: De-entaglement of unwanted Nuisances and Biases in Speech to Text System using Adversarial Forgetting

2020 · arXiv (Cornell University)

Training a robust Speech to Text (STT) system requires tens of thousands of hours of data. Variabilities present in the dataset such as unwanted nuisances (environmental noise, etc) and biases (accent, gender, age, etc) are …

Span Classification with Structured Information for Disfluency Detection in Spoken Utterances

2022 · Interspeech 2022

Existing approaches in disfluency detection focus on solving a token-level classification task for identifying and removing disfluencies in text.Moreover, most works focus on leveraging only contextual information captured by the linear sequences in text, thus …

MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations

2024 · arXiv (Cornell University)

In recent years, self-supervised pre-training methods have gained significant traction in learning high-level information from raw speech. Among these methods, HuBERT has demonstrated SOTA performance in automatic speech recognition (ASR). However, HuBERT's performance lags behind …