Frederick R Reiss

contact information

Principal Research Staff Member and Chief Architect, Center for Open-Source Data and AI Technologies (CODAIT)
Almaden Research Center, San Jose, CA, USA
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Professional Associations

Professional Associations: ACM | IEEE

2020

Identifying Incorrect Labels in the CoNLL-2003 Corpus
Frederick Reiss, Hong Xu, Bryan Cutler, Karthik Muthuraman, Zachary Eichenberger
Proceedings of the 24th Conference on Computational Natural Language Learning, pp. 215-226, Association for Computational Linguistics, 2020
Abstract named entity recognition, inference, natural language processing, ground truth, artificial intelligence, landmark, computer science

2019

Compressed linear algebra for declarative large-scale machine learning
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
Communications of The ACM 62(5), 83-91, Association of Computing Machinery, 2019
Abstract data compression, lossless compression, uncompressed video, compression, linear algebra, column, computer science, machine learning, artificial intelligence

Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment
Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R Reiss, Vijay Bommireddipalli
arXiv preprint arXiv:1909.01606, 2019
Abstract python, theano, web application, software, software engineering, deep learning, computer science, inference, software deployment, artificial intelligence

2018

Compressed Linear Algebra for Large-Scale Machine Learning
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
VLDB Journal, 2018
[paper (author version)]

A Hardware Compilation Framework for Text Analytics Queries
R. Polig, K. Atasu, H. Giefers, C. Hagleitner, L. Chiticariu, F. R. Reiss, H. Zhu, P. H. Hofstee.
Journal of Parallel and Distributed Computing (JPDC)111, 260-272, 2018
Abstract

SystemT: Declarative Text Understanding for Enterprise
Laura Chiticariu, Marina Danilevsky, Yunyao Li, Frederick Reiss, Huaiyu Zhu
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018, pp. 76--83
Abstract

Web Information Extraction
Laura Chiticariu, Marina Danilevsky, Howard Ho, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu
Encyclopedia of Database Systems (2nd ed), pp. 1--9, Springer New York, 2018

2017

Scaling Machine Learning via Compressed Linear Algebra
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
SIGMOD Record 46(1), 2017
[paper]

2016

A Relational Framework for Information Extraction
Ronald Fagin, Benny Kimelfeld, Frederick Reiss, Stijn Vansummeren
international conference on management of data, pp. 5-16, ACM, 2016
Abstract relational calculus, information extraction, big data, schema, information retrieval, computer science, regular expression, relational framework

Declarative Cleaning of Inconsistencies in Information Extraction
Ronald Fagin, Benny Kimelfeld, Frederick Reiss, Stijn Vansummeren
international conference on management of data, ACM, 2016
Abstract information extraction, database theory, natural language, big data, use case, information retrieval, computer science, programming language, schema

The population of a predefined relational schema from textual content, commonly known as Information Extraction (IE), is a pervasive task in contemporary computational challenges associated with Big Data. Since the textual content varies widely in nature and structure (from machine logs to informal natural language), it is notoriously difficult to write IE programs that unambiguously extract the sought information. For example, during extraction, an IE program could annotate a substring as both an address and a person name. When this happens, the extracted information is said to be inconsistent, and some way of removing inconsistencies is crucial to compute the final output. Industrial-strength IE systems like GATE and IBM SystemT therefore provide a built-in collection of cleaning operations to remove inconsistencies from extracted relations. These operations, however, are collected in an ad hoc fashion through use cases. Ideally, we would like to allow IE developers to declare their own policies. But existing cleaning operations are defined in an algorithmic way, and hence it is not clear how to extend the built-in operations without requiring low-level coding of internal or external functions.We embark on the establishment of a framework for declarative cleaning of inconsistencies in IE through principles of database theory. Specifically, building upon the formalism of document spanners for IE, we adopt the concept of prioritized repairs, which has been recently proposed as an extension of the traditional database repairs to incorporate priorities among conflicting facts. We show that our framework captures the popular cleaning policies, as well as the POSIX semantics for extraction through regular expressions. We explore the problem of determining whether a cleaning declaration is unambiguous (i.e., always results in a single repair) and whether it increases the expressive power of the extraction language. We give both positive and negative results, some of which are general and some of which apply to policies used in practice.

SystemML: Declarative machine learning on spark
Matthias Boehm, Michael W Dusenberry, Deron Eriksson, Alexandre V Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick R Reiss, Prithviraj Sen, Arvind C Surve, others
Proceedings of the VLDB Endowment 9(13), 1425--1436, VLDB Endowment, 2016

2015

Transparent Machine Learning for Information Extraction: State-of-the-Art and the Future
Laura Chiticariu, Yunyao Li and Frederick Reiss
EMNLP, 2015

SparkBench - A Spark Performance Testing Suite
Dakshi Agrawal, Ali Raza Butt, Kshitij Doshi, Josep-Lluis Larriba-Pey, Min Li, Frederick R. Reiss, Francois Raab, Berni Schiefer, Toyotaro Suzumura, Yinglong Xia
Technology Conference on Performance Evaluation and Benchmarking, 26-44, 2015
Abstract test case, software deployment, scalability, sql, reference implementation, modular design, database, computer science, analytics, agile software development

Resource Elasticity for Large-Scale Machine Learning
Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss
SIGMOD, 2015

Document Spanners: A Formal Approach to Information Extraction
Ronald Fagin, Benny Kimelfeld, Frederick Reiss, Stijn Vansummeren
Journal of the ACM 62(2), ACM, 2015
Abstract spanner, string, regular expression, algebraic operation, closure, complement, representation, relational operator, algebra, mathematics

2014

Hardware-accelerated text analytics
R Polig, K Atasu, C Hagleitner, L Chiticariu, F Reiss, H Zhu, P Hofstee
2014 IEEE Hot Chips 26 Symposium (HCS), pp. 1--24

Cleaning inconsistencies in information extraction via prioritized repairs
Ronald Fagin, Benny Kimelfeld, Frederick Reiss, Stijn Vansummeren
Proceedings of the 33rd ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pp. 164--175, 2014

SystemML’s Optimizer: Plan Generation for Large-Scale Machine Learning Programs
Matthias Boehm, Douglas R Burdick, Alexandre V Evfimievski, Berthold Reinwald, Frederick R Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
2014 - 131.107.65.22

Giving text analytics a boost
Raphael Polig, Kubilay Atasu, Laura Chiticariu, Christoph Hagleitner, H Peter Hofstee, Frederick R Reiss, Huaiyu Zhu, Eva Sitaridi
IEEE Micro 34(4), 6--14, IEEE, 2014

2013

Hardware-Accelerated Regular Expression Matching for High-Throughput Text Analytics
Kubilay Atasu, Raphael Polig, Christoph Hagleitner and Frederick. R. Reiss
23rd International Conference on Field Programmable Logic and Applications, pp. 1--7, IEEE, 2013

Rule-Based Information Extraction is Dead! Long Live Rule-Based Information Extraction Systems!
Laura Chiticariu, Yunyao Li, Frederick R Reiss
EMNLP, pp. 827--832, 2013

Spanners: A Formal Framework for Information Extraction
Ronald Fagin, Benny Kimelfeld, Frederick Reiss, Stijn Vansummeren
PODS, 2013

Provenance-based dictionary refinement in information extraction
Sudeepa Roy, Laura Chiticariu, Vitaly Feldman, Frederick Reiss, Huaiyu Zhu
SIGMOD, pp. 457-468, 2013

2012

WizIE: a best practices guided development environment for information extraction
Yunyao Li, Laura Chiticariu, Huahai Yang, Frederick R Reiss, Arnaldo Carreno-Fuentes
Proceedings of the ACL 2012 System Demonstrations, pp. 109--114

2011

SystemT: A Declarative Information Extraction System
Yunyao Li, Frederick Reiss, Laura Chiticariu
ACL (Demonstration), pp. 109-114, 2011

Selectivity estimation for extraction operators over text data
Daisy Zhe Wang, Long Wei, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan
Data Engineering (ICDE), 2011 IEEE 27th International Conference on, pp. 685--696, Citeseer

SystemT: A Declarative Information Extraction System.
Yunyao Li, Frederick Reiss, Laura Chiticariu
ACL (System Demonstrations), pp. 109--114, 2011

The SystemT IDE: an integrated development environment for information extraction rules
Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thilo W Goetz, Howard Ho, Rajasekar Krishnamurthy, Alexander Lang, Yunyao Li, Bin Liu, Sriram Raghavan, others
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data, pp. 1291--1294

2010

Automatic Rule Refinement for Information Extraction
Bin Liu, Laura Chiticariu, Vivian Chu, H. V. Jagadish, Frederick Reiss
Proceedings of the VLDB Endowment Journal 3(1), 588-597, VLDB Endowment, 2010

Refining Information Extraction Rules using Data Provenance.
Bin Liu, Laura Chiticariu, Vivian Chu, HV Jagadish, Frederick Reiss
IEEE Data Eng. Bull. 33(3), 17--24, Citeseer, 2010

SystemT: an algebraic approach to declarative information extraction
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick R Reiss, Shivakumar Vaithyanathan
Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 128--137, Association for Computational Linguistics, 2010
Abstract

Enterprise information extraction: recent developments and open challenges
Laura Chiticariu, Yunyao Li, Sriram Raghavan, Frederick R Reiss
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data, pp. 1257--1258, ACM
Abstract

Domain adaptation of rule-based annotators for named-entity recognition tasks
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Frederick Reiss, Shivakumar Vaithyanathan
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 1002--1012

2009

Enterprise Information Extraction
Frederick Reiss, Yunyao Li, Laura Chiticariu, Sriram Raghavan
2009 - Citeseer, Citeseer

Enabling enterprise mashups over unstructured text feeds with infosphere mashuphub and systemt
David E Simmen, Frederick Reiss, Yunyao Li, Suresh Thalamati
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data, pp. 1123--1126, ACM
Abstract

2008

Constant-time query processing
Vijayshankar Raman, Garret Swart, Lin Qiao, Frederick Reiss, Vijay Dialani, Donald Kossmann, Inderpal Narang, Richard Sidle
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on, pp. 60--69

An algebraic approach to rule-based information extraction
Frederick Reiss, Sriram Raghavan, Rajasekar Krishnamurthy, Huaiyu Zhu, Shivakumar Vaithyanathan
Data Engineering, 2008. ICDE 2008. IEEE 24th International Conference on, pp. 933--942, IEEE

SystemT: a system for declarative information extraction
Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan, Huaiyu Zhu
ACM SIGMOD Record 37(4), 7--13, ACM, 2008
Abstract

Main-memory scan sharing for multi-core CPUs
Lin Qiao, Vijayshankar Raman, Frederick Reiss, Peter J. Haas, Guy M. Lohman
PVLDB 1(1), 610--621, 2008

2007

Enabling Real-Time Querying of Live and Historical Stream Data
Frederick Reiss, Kurt Stockinger, Kesheng Wu, Arie Shoshani, Joseph M. Hellerstein
19th International Conference on Scientific and Statistical Database Management, SSDBM 2007, 9-11 July 2007, Banff, Canada, Proceedings, pp. 28

Data Triage
Frederick Ralph Reiss
Ph.D. Thesis, 2007

2006

Compact Histograms for Hierarchical Identifiers
Frederick Reiss, Minos N. Garofalakis, Joseph M. Hellerstein
Proceedings of the 32nd International Conference on Very Large Data Bases, Seoul, Korea, September 12-15, 2006, pp. 870--881

Declarative Network Monitoring with an Underprovisioned Query Processor
Frederick Reiss, Joseph M. Hellerstein
Proceedings of the 22nd International Conference on Data Engineering, ICDE 2006, 3-8 April 2006, Atlanta, GA, USA, pp. 56

Impliance: A Next Generation Information Management Appliance
Bishwaranjan Bhattacharjee, Vuk Ercegovac, Joseph S. Glider, Richard A. Golding, Guy M. Lohman, Volker Markl, Hamid Pirahesh, Jun Rao, Robert M. Rees, Frederick Reiss, Eugene J. Shekita, Garret Swart
CoRRabs/cs/0612129, 2006

2005

Data Triage: An Adaptive Architecture for Load Shedding in TelegraphCQ
Frederick Reiss, Joseph M. Hellerstein
Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan, pp. 155--156

Satisfying database service level agreements while minimizing cost through storage QoS
Frederick R Reiss, Tapas Kanungo
Services Computing, 2005 IEEE International Conference on, pp. 13--21

Design Considerations for High Fan-In Systems: The HiFi Approach.
Michael J Franklin, Shawn R Jeffery, Sailesh Krishnamurthy, Frederick Reiss, Shariq Rizvi, Eugene Wu, Owen Cooper, Anil Edakkunni, Wei Hong
CIDR, pp. 290--304, 2005

2004

Hifi: A unified architecture for high fan-in systems
Owen Cooper, Anil Edakkunni, Michael J Franklin, Wei Hong, Shawn R Jeffery, Sailesh Krishnamurthy, Fredrick Reiss, Shariq Rizvi, Eugene Wu
Proceedings of the Thirtieth international conference on Very large data bases-Volume 30, pp. 1357--1360, 2004

2003

TelegraphCQ: Continuous Dataflow Processing for an Uncertain World
Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Vijayshankar Raman, Frederick Reiss, Mehul A. Shah
CIDR, 2003

TelegraphCQ: An architectural status report
Sailesh Krishnamurthy, Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Samuel Madden, Frederick Reiss, Mehul A. Shah
IEEE Data Eng. Bull. 26(1), 11--18, 2003

A characterization of the sensitivity of query optimization to storage access cost parameters
Frederick R Reiss, Tapas Kanungo
Proceedings of the 2003 ACM SIGMOD international conference on Management of data, pp. 385--396

TelegraphCQ: continuous dataflow processing
Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J Franklin, Joseph M Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel R Madden, Fred Reiss, Mehul A Shah
Proceedings of the 2003 ACM SIGMOD international conference on Management of data, pp. 668--668

2000

Scalable Information Organization Information Retrieval
Jay Aslam, Frederick Reiss, Daniela Rus
Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications) - RIAO 2000, 6th International Conference, College de France, France, April 12-14, 2000. Proceedings, pp. 1033--1042

Virtual Threads
Elaine Cheong, Fred Reiss
2000 - elainetron.com

Frederick R Reiss

contact information

links

Professional Associations

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2000

Projects and Groups

Technical Areas

Frederick R Reiss gen_feedback_link(leftr, rightr);

contact information

links

Professional Associations

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

2003

2000

Projects and Groups

Technical Areas

Frederick R Reiss