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20112026
most citedMulti-document abstractive summarization using ILP based multi-sentence compression

129 citations · 605 across the 54 of their papers we have counts for

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Showing 2016Show all

8 papers · 1 filter

cs.GT2016★ 3 cited

Re-incentivizing Discovery: Mechanisms for Partial-Progress Sharing in Research

Anilesh Kollagunta Krishnaswamy, Ashish Goel, Siddhartha Banerjee

An essential primitive for an efficient research ecosystem is \emph{partial-progress sharing} (PPS) -- whereby a researcher shares information immediately upon making a breakthroug…

cs.SI2016★ 12 cited

Summarizing Situational and Topical Information During Crises

Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly +3

The use of microblogging platforms such as Twitter during crises has become widespread. More importantly, information disseminated by affected people contains useful information li…

cs.CL2016

Abstractive Meeting Summarization UsingDependency Graph Fusion

Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama

Automatic summarization techniques on meeting conversations developed so far have been primarily extractive, resulting in poor summaries. To improve this, we propose an approach to…

cs.CL2016★ 129 cited

Multi-document abstractive summarization using ILP based multi-sentence compression

Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama

Abstractive summarization is an ideal form of summarization since it can synthesize information from multiple documents to create concise informative summaries. In this work, we ai…

cs.CL2016★ 9 cited

Generating Abstractive Summaries from Meeting Transcripts

Siddhartha Banerjee, Prasenjit Mitra, Kazunari Sugiyama

Summaries of meetings are very important as they convey the essential content of discussions in a concise form. Generally, it is time consuming to read and understand the whole doc…

cs.GT2016

Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework

Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris

Optimizing shared vehicle systems (bike/scooter/car/ride-sharing) is more challenging compared to traditional resource allocation settings due to the presence of \emph{complex netw…

cs.AI2016★ 54 cited

Unbounded Human Learning: Optimal Scheduling for Spaced Repetition

Siddharth Reddy, Igor Labutov, Siddhartha Banerjee +1

In the study of human learning, there is broad evidence that our ability to retain information improves with repeated exposure and decays with delay since last exposure. This plays…

cs.GT2016

Multi-Unit Facility Location Games

Omer Ben-Porat, Moshe Tennenholtz

Facility location games have been a topic of major interest in economics, operations research and computer science, starting from the seminal work by Hotelling. In the classical pu…