Vivek Srikumar

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ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars

Ali Shafiee, Anirban Nag, +5 authors Vivek Srikumar
ISCA
2016

Discriminative Learning over Constrained Latent Representations

Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar
HLT-NAACL
2010

This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) decision problems are… (More)

Importance of Semantic Representation: Dataless Classification

Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar
AAAI
2008

Traditionally, text categorization has been studied as the problem of training of a classifier using labeled data. However, people can categorize documents into named categories without any explicit… (More)

Structured Output Learning with Indirect Supervision

Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth
ICML
2010

We present a novel approach for structure prediction that addresses the difficulty of obtaining labeled structures for training. We observe that structured output problems often have a companion… (More)

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Min Du, Feifei Li, Guineng Zheng, Vivek Srikumar
ACM Conference on Computer and Communications…
2017

Anomaly detection is a critical step towards building a secure and trustworthy system. The primary purpose of a system log is to record system states and significant events at various critical points… (More)

A Hierarchy with, of, and for Preposition Supersenses

Nathan Schneider, Vivek Srikumar, Jena D. Hwang, Martha Palmer
LAW@NAACL-HLT
2015

English prepositions are extremely frequent and extraordinarily polysemous. In some usages they contribute information about spatial, temporal, or causal roles/relations; in other cases they are… (More)

Modeling Biological Processes for Reading Comprehension

Jonathan Berant, Vivek Srikumar, +5 authors Christopher D. Manning
EMNLP
2014

Machine reading calls for programs that read and understand text, but most current work only attempts to extract facts from redundant web-scale corpora. In this paper, we focus on a new reading… (More)

A Joint Model for Extended Semantic Role Labeling

This paper presents a model that extends semantic role labeling. Existing approaches independently analyze relations expressed by verb predicates or those expressed as nominalizations. However,… (More)

An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines)

James Clarke, Vivek Srikumar, Mark Sammons, Dan Roth
LREC
2012

Natural Language Processing continues to grow in popularity in a range of research and commercial applications, yet managing the wide array of potential NLP components remains a difficult problem.… (More)

RhymeDesign: A Tool for Analyzing Sonic Devices in Poetry

Nina McCurdy, Vivek Srikumar, Miriah D. Meyer
CLfL@NAACL-HLT
2015

The analysis of sound and sonic devices in poetry is the focus of much poetic scholarship, and poetry scholars are becoming increasingly interested in the role that computation might play in their… (More)

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