11 citations · 21 across the 6 of their papers we have counts for
6 papers
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data
Suman Dowlagar, Radhika Mamidi
Identifying named entities is, in general, a practical and challenging task in the field of Natural Language Processing. Named Entity Recognition on the code-mixed text is further…
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…
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…
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…
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…
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…