55 citations · 157 across the 36 of their papers we have counts for
41 papers
GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages
Lakshmi Sireesha Vakada, Anudeep Ch, Mounika Marreddy +2
Document summarization aims to create a precise and coherent summary of a text document. Many deep learning summarization models are developed mainly for English, often requiring a…
Using Selective Masking as a Bridge between Pre-training and Fine-tuning
Tanish Lad, Himanshu Maheshwari, Shreyas Kottukkal +1
Pre-training a language model and then fine-tuning it for downstream tasks has demonstrated state-of-the-art results for various NLP tasks. Pre-training is usually independent of t…
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…
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation
Kshitij Gupta, Devansh Gautam, Radhika Mamidi
Vision-and-language tasks are gaining popularity in the research community, but the focus is still mainly on English. We propose a pipeline that utilizes English-only vision-langua…
Detection of Propaganda Techniques in Visuo-Lingual Metaphor in Memes
Sunil Gundapu, Radhika Mamidi
The exponential rise of social media networks has allowed the production, distribution, and consumption of data at a phenomenal rate. Moreover, the social media revolution has brou…
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language
Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada +2
Graph Convolutional Networks (GCN) have achieved state-of-art results on single text classification tasks like sentiment analysis, emotion detection, etc. However, the performance…