3 citations · 5 across the 5 of their papers we have counts for
5 papers
TaxoAlign: Scholarly Taxonomy Generation Using Language Models
Avishek Lahiri, Yufang Hou, Debarshi Kumar Sanyal
Taxonomies play a crucial role in helping researchers structure and navigate knowledge in a hierarchical manner. They also form an important part in the creation of comprehensive l…
Evaluating Negative Sampling Approaches for Neural Topic Models
Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal +1
Negative sampling has emerged as an effective technique that enables deep learning models to learn better representations by introducing the paradigm of learn-to-compare. The goal…
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…
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 Contextualized Topic Models with Negative Sampling
Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal +1
Topic modeling has emerged as a dominant method for exploring large document collections. Recent approaches to topic modeling use large contextualized language models and variation…