activity
20172022
most citedRead Top News First: A Document Reordering Approach for Multi-Document News Summarization

2 citations · 3 across the 4 of their papers we have counts for

collaborators

9 papers

cs.CL20222 cited

Read Top News First: A Document Reordering Approach for Multi-Document News Summarization

Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury +3

A common method for extractive multi-document news summarization is to re-formulate it as a single-document summarization problem by concatenating all documents as a single meta-do…

cs.CL2022

Unsupervised Extractive Opinion Summarization Using Sparse Coding

Somnath Basu Roy Chowdhury, Chao Zhao, Snigdha Chaturvedi

Opinion summarization is the task of automatically generating summaries that encapsulate information from multiple user reviews. We present Semantic Autoencoder (SemAE) to perform…

cs.CL2021

Adversarial Scrubbing of Demographic Information for Text Classification

Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li +3

Contextual representations learned by language models can often encode undesirable attributes, like demographic associations of the users, while being trained for an unrelated targ…

cs.CL2021

Does Commonsense help in detecting Sarcasm?

Somnath Basu Roy Chowdhury, Snigdha Chaturvedi

Sarcasm detection is important for several NLP tasks such as sentiment identification in product reviews, user feedback, and online forums. It is a challenging task requiring a dee…

cs.CL2021

Is Everything in Order? A Simple Way to Order Sentences

Somnath Basu Roy Chowdhury, Faeze Brahman, Snigdha Chaturvedi

The task of organizing a shuffled set of sentences into a coherent text has been used to evaluate a machine's understanding of causal and temporal relations. We formulate the sente…

cs.CL2018

Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing

Somnath Basu Roy Chowdhury, K M Annervaz, Ambedkar Dukkipati

Supervised learning models are typically trained on a single dataset and the performance of these models rely heavily on the size of the dataset, i.e., amount of data available wit…