Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sarthak Anand"'
Autor:
Rakesh Gosangi, Hemant Yadav, Sarthak Anand, Pradyumna Gupta, Debanjan Mahata, Rajiv Ratn Shah, Haimin Zhang
Publikováno v:
SemEval@COLING
This paper presents our submission to the SemEval 2020 - Task 10 on emphasis selection in written text. We approach this emphasis selection problem as a sequence labeling task where we represent the underlying text with various contextual embedding m
Publikováno v:
International Journal of Computer Applications. 166:30-35
Autor:
Kartik Aggarwal, Yaman Kumar, Haimin Zhang, Sarthak Anand, Karan Uppal, Laiba Mehnaz, Debanjan Mahata, Simra Shahid, Rajiv Ratn Shah
Publikováno v:
SemEval@NAACL-HLT
In this paper we present our approach to tackle the Suggestion Mining from Online Reviews and Forums Sub-Task A. Given a review, we are asked to predict whether the review consists of a suggestion or not. Our model is based on Universal Language Mode
Autor:
Sarthak Anand, Rajiv Ratn Shah, Haimin Zhang, Simra Shahid, Debanjan Mahata, Karan Uppal, Yaman Kumar, Laiba Mehnaz
Publikováno v:
SemEval@NAACL-HLT
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 if a given tweet is offensive and
Autor:
Haimin Zhang, Yaman Kumar, Simra Shahid, Laiba Mehnaz, Rajiv Ratn Shah, Sarthak Anand, Debanjan Mahata
Publikováno v:
Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task.
In this paper, we present our approach and the system description for the Social Media Mining for Health Applications (SMM4H) Shared Task 1,2 and 4 (2019). Our main contribution is to show the effectiveness of Transfer Learning approaches like BERT a