16 citations · 35 across the 20 of their papers we have counts for
9 papers · 1 filter
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
As large language models (LLMs) become increasingly integrated into daily applications, it is essential to ensure they operate fairly across diverse user demographics. In this work…
Incremental Extractive Opinion Summarization Using Cover Trees
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey +4
Extractive opinion summarization involves automatically producing a summary of text about an entity (e.g., a product's reviews) by extracting representative sentences that capture…
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…
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…
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…
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…
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…
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…
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing
K M Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati
Machine Learning has been the quintessential solution for many AI problems, but learning is still heavily dependent on the specific training data. Some learning models can be incor…