activity
20192021
most citedImproving Document Classification with Multi-Sense Embeddings

7 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari +1

When it comes to studying the impacts of decision making, the research has been largely focused on examining the fairness of the decisions, the long-term effects of the decision pi…

cs.CL20201 cited

P-SIF: Document Embeddings Using Partition Averaging

Vivek Gupta, Ankit Saw, Pegah Nokhiz +3

Simple weighted averaging of word vectors often yields effective representations for sentences which outperform sophisticated seq2seq neural models in many tasks. While it is desir…

cs.CL2020

INFOTABS: Inference on Tables as Semi-structured Data

Vivek Gupta, Maitrey Mehta, Pegah Nokhiz +1

In this paper, we observe that semi-structured tabulated text is ubiquitous; understanding them requires not only comprehending the meaning of text fragments, but also implicit rel…

cs.CL20197 cited

Improving Document Classification with Multi-Sense Embeddings

Vivek Gupta, Ankit Saw, Pegah Nokhiz +2

Efficient representation of text documents is an important building block in many NLP tasks. Research on long text categorization has shown that simple weighted averaging of word v…

cs.LG2019

Equalizing Recourse across Groups

Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy +1

The rise in machine learning-assisted decision-making has led to concerns about the fairness of the decisions and techniques to mitigate problems of discrimination. If a negative d…