activity
20192025
most citedNetwork Representation Learning: Consolidation and Renewed Bearing

9 citations · 23 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR2025

An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc

Aldo Porco, Dhruv Mehra, Igor Malioutov +5

Learned Sparse Retrieval (LSR) models encode text as weighted term vectors, which need to be sparse to leverage inverted index structures during retrieval. SPLADE, the most popular…

cs.CL2022★ 2 cited

What Makes Data-to-Text Generation Hard for Pretrained Language Models?

Moniba Keymanesh, Adrian Benton, Mark Dredze

Expressing natural language descriptions of structured facts or relations -- data-to-text generation (D2T) -- increases the accessibility of structured knowledge repositories. Prev…

cs.CL2021★ 4 cited

Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach

Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy

Existing work on making privacy policies accessible has explored new presentation forms such as color-coding based on the risk factors or summarization to assist users with conscio…

cs.AI2021★ 1 cited

Fairness-aware Summarization for Justified Decision-Making

Moniba Keymanesh, Tanya Berger-Wolf, Micha Elsner +1

In consequential domains such as recidivism prediction, facility inspection, and benefit assignment, it's important for individuals to know the decision-relevant information for th…

cs.CL2020

Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths

Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi +1

Abstractive summarization at controllable lengths is a challenging task in natural language processing. It is even more challenging for domains where limited training data is avail…

cs.SI2019★ 7 cited

Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods

Moniba Keymanesh, Saket Gurukar, Bethany Boettner +3

Sociologists associate the spatial variation of crime within an urban setting, with the concept of collective efficacy. The collective efficacy of a neighborhood is defined as soci…

cs.LG2019★ 9 cited

Network Representation Learning: Consolidation and Renewed Bearing

Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan +9

Graphs are a natural abstraction for many problems where nodes represent entities and edges represent a relationship across entities. An important area of research that has emerged…