21 citations · 41 across the 10 of their papers we have counts for
10 papers
Transfer Learning and Transformer Architecture for Financial Sentiment Analysis
Tohida Rehman, Raghubir Bose, Samiran Chattopadhyay +1
Financial sentiment analysis allows financial institutions like Banks and Insurance Companies to better manage the credit scoring of their customers in a better way. Financial doma…
Automatic Recognition of Learning Resource Category in a Digital Library
Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2
Digital libraries often face the challenge of processing a large volume of diverse document types. The manual collection and tagging of metadata can be a time-consuming and error-p…
Hallucination Reduction in Long Input Text Summarization
Tohida Rehman, Ronit Mandal, Abhishek Agarwal +1
Hallucination in text summarization refers to the phenomenon where the model generates information that is not supported by the input source document. Hallucination poses significa…
CitePrompt: Using Prompts to Identify Citation Intent in Scientific Papers
Avishek Lahiri, Debarshi Kumar Sanyal, Imon Mukherjee
Citations in scientific papers not only help us trace the intellectual lineage but also are a useful indicator of the scientific significance of the work. Citation intents prove be…
What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha
Suman Adhya, Debarshi Kumar Sanyal
The TCPD-IPD dataset is a collection of questions and answers discussed in the Lower House of the Parliament of India during the Question Hour between 1999 and 2019. Although it is…
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling
Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal
Dropout is a widely used regularization trick to resolve the overfitting issue in large feedforward neural networks trained on a small dataset, which performs poorly on the held-ou…