no code implementations • 29 Jul 2021 • Arup Baruah, Kaushik Amar Das, Ferdous Ahmed Barbhuiya, Kuntal Dey
The XLM-RoBERTa based classifier performed the best on the code-mixed Tamil text.
1 code implementation • SEMEVAL 2020 • Kaushik Amar Das, Arup Baruah, Ferdous Ahmed Barbhuiya, Kuntal Dey
This paper presents two approaches for the internet meme classification challenge of SemEval-2020 Task 8 by Team KAFK (cosec).
no code implementations • SEMEVAL 2020 • Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey
The BiLSTM classifier obtained macro F1 score of 0. 57565 for subtask C. The paper also performs an analysis of the errors made by our classifiers.
1 code implementation • SEMEVAL 2020 • Kaushik Amar Das, Arup Baruah, Ferdous Ahmed Barbhuiya, Kuntal Dey
This paper presents the approach of Team KAFK for the English edition of SemEval-2020 Task 12.
no code implementations • SEMEVAL 2020 • Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey
This architecture utilizes both textual and visual information present in a meme.
no code implementations • SEMEVAL 2020 • Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey
In this paper, we present the results that the team IIITG-ADBU (codalab username {`}abaruah{'}) obtained in the SentiMix task (Task 9) of the International Workshop on Semantic Evaluation 2020 (SemEval 2020).
no code implementations • WS 2020 • Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey
It was found that including the last utterance in the dialogue along with the response improved the performance of the classifier for the Twitter data set.
1 code implementation • LREC 2020 • Arup Baruah, Kaushik Das, Ferdous Barbhuiya, Kuntal Dey
In our study, we used English BERT (En-BERT), RoBERTa, DistilRoBERTa, and SVM based classifiers for English language.
Aggression Identification Misogynistic Aggression Identification
no code implementations • SEMEVAL 2019 • Arup Baruah, Ferdous Barbhuiya, Kuntal Dey
In this paper, we present the results obtained using bi-directional long short-term memory (BiLSTM) with and without attention and Logistic Regression (LR) models for SemEval-2019 Task 5 titled {''}HatEval: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter{''}.
no code implementations • 9 Jul 2014 • Gitimoni Talukdar, Pranjal Protim Borah, Arup Baruah
At the very first of the paper we give an idea of the available approaches for Named Entity Recognition and then we discuss about the related research in this field.