Huaiyu Zhu

According to our database1, Huaiyu Zhu authored at least 32 papers between 1993 and 2020.

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Bibliography

2020
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation.
CoRR, 2020

Small but Mighty: New Benchmarks for Split and Rephrase.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

A Novel Workflow for Accurately and Efficiently Crowdsourcing Predicate Senses and Argument Labels.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

2018
Web Information Extraction.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

A hardware compilation framework for text analytics queries.
J. Parallel Distributed Comput., 2018

SystemT: Declarative Text Understanding for Enterprise.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
Creation and Interaction with Large-scale Domain-Specific Knowledge Bases.
Proc. VLDB Endow., 2017

Towards Re-defining Relation Understanding in Financial Domain.
Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

2016
Multilingual Information Extraction with PolyglotIE.
Proceedings of the COLING 2016, 2016

2015
Generating High Quality Proposition Banks for Multilingual Semantic Role Labeling.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Enterprise Search in the Big Data Era: Recent Developments and Open Challenges.
Proc. VLDB Endow., 2014

Giving Text Analytics a Boost.
IEEE Micro, 2014

Hardware-accelerated text analytics.
Proceedings of the 2014 IEEE Hot Chips 26 Symposium (HCS), 2014

2013
Provenance-based dictionary refinement in information extraction.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

2011
The SystemT IDE: an integrated development environment for information extraction rules.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Facilitating pattern discovery for relation extraction with semantic-signature-based clustering.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2009
Web Information Extraction.
Proceedings of the Encyclopedia of Database Systems, 2009

Towards a Scalable Enterprise Content Analytics Platform.
IEEE Data Eng. Bull., 2009

2008
SystemT: a system for declarative information extraction.
SIGMOD Rec., 2008

An Algebraic Approach to Rule-Based Information Extraction.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
Navigating the intranet with high precision.
Proceedings of the 16th International Conference on World Wide Web, 2007

2006
Avatar Information Extraction System.
IEEE Data Eng. Bull., 2006

Avatar semantic search: a database approach to information retrieval.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

2004
Generalized Opinion Pooling.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

2003
Topic Learning from Few Examples.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

1998
Anti-Predictable Sequences: Harder to Predict Than Random Sequences.
Neural Comput., 1998

1997
A Possible Link between Artificial and Biological Neural Network Learning Rules.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1996
No Free Lunch for Cross-Validation.
Neural Comput., 1996

Bayesian Regression Filters and the Issue of Priors.
Neural Comput. Appl., 1996

1995
Bayesian invariant measurements of generalization.
Neural Process. Lett., 1995

1993
Neural networks and adaptive computers : theory and methods of stochastic adaptive computation.
PhD thesis, 1993


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