activity
20172020
most citedStreaming Periodicity with Mismatches

4 citations · 6 across the 3 of their papers we have counts for

collaborators

9 papers

cs.CL2020

ParsiNLU: A Suite of Language Understanding Challenges for Persian

Daniel Khashabi, Arman Cohan, Siamak Shakeri +22

Despite the progress made in recent years in addressing natural language understanding (NLU) challenges, the majority of this progress remains to be concentrated on resource-rich l…

cs.CL2019

Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses

Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal +1

Empirical research in Natural Language Processing (NLP) has adopted a narrow set of principles for assessing hypotheses, relying mainly on p-value computation, which suffers from s…

cs.CL2019

On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections

Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot +2

Systems for language understanding have become remarkably strong at overcoming linguistic imperfections in tasks involving phrase matching or simple reasoning. Yet, their accuracy…

cs.DC2018

A Practical Algorithm for Distributed Clustering and Outlier Detection

Jiecao Chen, Erfan Sadeqi Azer, Qin Zhang

We study the classic -means/median clustering, which are fundamental problems in unsupervised learning, in the setting where data are partitioned across multiple sites, and wher…

cs.DS2018

Periodicity in Data Streams with Wildcards

Funda Ergün, Elena Grigorescu, Erfan Sadeqi Azer +1

We investigate the problem of detecting periodic trends within a string of length , arriving in the streaming model, containing at most wildcard characters, where $k=o(n…

cs.DS2017

Longest Alignment with Edits in Data Streams

Elena Grigorescu, Erfan Sadeqi Azer, Samson Zhou

Analyzing patterns in data streams generated by network traffic, sensor networks, or satellite feeds is a challenge for systems in which the available storage is limited. In additi…