21 citations · 82 across the 24 of their papers we have counts for
9 papers · 1 filter
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…
Improving Neural Topic Models with Wasserstein Knowledge Distillation
Suman Adhya, Debarshi Kumar Sanyal
Topic modeling is a dominant method for exploring document collections on the web and in digital libraries. Recent approaches to topic modeling use pretrained contextualized langua…
An Analysis of Abstractive Text Summarization Using Pre-trained Models
Tohida Rehman, Suchandan Das, Debarshi Kumar Sanyal +1
People nowadays use search engines like Google, Yahoo, and Bing to find information on the Internet. Due to explosion in data, it is helpful for users if they are provided relevant…
Named Entity Recognition Based Automatic Generation of Research Highlights
Tohida Rehman, Debarshi Kumar Sanyal, Prasenjit Majumder +1
A scientific paper is traditionally prefaced by an abstract that summarizes the paper. Recently, research highlights that focus on the main findings of the paper have emerged as a…
Abstractive Text Summarization using Attentive GRU based Encoder-Decoder
Tohida Rehman, Suchandan Das, Debarshi Kumar Sanyal +1
In todays era huge volume of information exists everywhere. Therefore, it is very crucial to evaluate that information and extract useful, and often summarized, information out of…
Generation of Highlights from Research Papers Using Pointer-Generator Networks and SciBERT Embeddings
Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay +2
Nowadays many research articles are prefaced with research highlights to summarize the main findings of the paper. Highlights not only help researchers precisely and quickly identi…