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Suman Adhya

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3
ORCID 0000-0001-6568-2020

identity via Semantic Scholar / OpenAlex

most citedImproving Contextualized Topic Models with Negative Sampling

3 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2023★ 2 cited

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…

cs.CL2023

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…

cs.CL2023★ 3 cited

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…

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