Studying the impacts of pre-training using ChatGPT-generated text on downstream tasks

no code implementations • 2 Sep 2023 • Sarthak Anand

Specifically, we conducted a comparative analysis between a language model, RoBERTa, pre-trained using CNN/DailyMail news articles, and ChatGPT, which employed the same articles for its training and evaluated their performance on three downstream tasks as well as their potential gender bias, using sentiment analysis as a metric.

Language Modelling Sentiment Analysis

Is it Required? Ranking the Skills Required for a Job-Title

no code implementations • 28 Nov 2022 • Sarthak Anand, Jens-Joris Decorte, Niels Lowie

In this paper, we describe our method for ranking the skills required for a given job title.

Sentence

MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings

no code implementations • SEMEVAL 2020 • Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah

This paper presents our submission to the SemEval 2020 - Task 10 on emphasis selection in written text.

Sentence

Suggestion Mining from Online Reviews using ULMFiT

1 code implementation • 19 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 implementations • 19 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.