most citedCMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text

11 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20211 cited

Unsupervised Technical Domain Terms Extraction using Term Extractor

Suman Dowlagar, Radhika Mamidi

Terminology extraction, also known as term extraction, is a subtask of information extraction. The goal of terminology extraction is to extract relevant words or phrases from a giv…

cs.CL20213 cited

Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification

Suman Dowlagar, Radhika Mamidi

In this paper, we present a transfer learning system to perform technical domain identification on multilingual text data. We have submitted two runs, one uses the transformer mode…

cs.CL20211 cited

Does a Hybrid Neural Network based Feature Selection Model Improve Text Classification?

Suman Dowlagar, Radhika Mamidi

Text classification is a fundamental problem in the field of natural language processing. Text classification mainly focuses on giving more importance to all the relevant features…

cs.CL20215 cited

HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection

Suman Dowlagar, Radhika Mamidi

Hateful and Toxic content has become a significant concern in today's world due to an exponential rise in social media. The increase in hate speech and harmful content motivated re…

cs.CL202111 cited

CMSAOne@Dravidian-CodeMix-FIRE2020: A Meta Embedding and Transformer model for Code-Mixed Sentiment Analysis on Social Media Text

Suman Dowlagar, Radhika Mamidi

Code-mixing(CM) is a frequently observed phenomenon that uses multiple languages in an utterance or sentence. CM is mostly practiced on various social media platforms and in inform…