Search Results for author:
Found 10 papers, 3 papers with code
IIITG-ADBU@HASOC-Dravidian-CodeMix-FIRE2020: Offensive Content Detection in Code-Mixed Dravidian Text
The XLM-RoBERTa based classifier performed the best on the code-mixed Tamil text.
KAFK at SemEval-2020 Task 8: Extracting Features from Pre-trained Neural Networks to Classify Internet Memes
This paper presents two approaches for the internet meme classification challenge of SemEval-2020 Task 8 by Team KAFK (cosec).
IIITG-ADBU at SemEval-2020 Task 12: Comparison of BERT and BiLSTM in Detecting Offensive Language
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.
KAFK at SemEval-2020 Task 12: Checkpoint Ensemble of Transformers for Hate Speech Classification
This paper presents the approach of Team KAFK for the English edition of SemEval-2020 Task 12.
IIITG-ADBU at SemEval-2020 Task 8: A Multimodal Approach to Detect Offensive, Sarcastic and Humorous Memes
This architecture utilizes both textual and visual information present in a meme.
IIITG-ADBU at SemEval-2020 Task 9: SVM for Sentiment Analysis of English-Hindi Code-Mixed Text
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).
Context-Aware Sarcasm Detection Using BERT
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.
Aggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVM
In our study, we used English BERT (En-BERT), RoBERTa, DistilRoBERTa, and SVM based classifiers for English language.
Aggression Identification
Misogynistic Aggression Identification
ABARUAH at SemEval-2019 Task 5 : Bi-directional LSTM for Hate Speech Detection
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{''}.
A Survey of Named Entity Recognition in Assamese and other Indian Languages
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.
