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Message Understanding Conference- 6: A Brief History
We have recently completed the sixth in a series of "Message Understanding Conferences" which are designed to promote and evaluate research in information extraction. MUC-6 introduced severalExpand
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The NomBank Project: An Interim Report
This paper describes NomBank, a project that will provide argument structure for instances of common nouns in the Penn Treebank II corpus. NomBank is part of a larger effort to add additional layersExpand
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Overview of the TAC 2010 Knowledge Base Population Track
In this paper we give an overview of the Knowledge Base Population (KBP) track at TAC 2010. The main goal of KBP is to promote research in discovering facts about entities and expanding a structuredExpand
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Joint Event Extraction via Recurrent Neural Networks
Event extraction is a particularly challenging problem in information extraction. The stateof-the-art models for this problem have either applied convolutional neural networks in a pipelinedExpand
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A Procedure for Quantitatively Comparing the Syntactic Coverage of English Grammars
The problem of quantitatively comparing the performance of different broad-coverage grammars of English has to date resisted solution. Prima facie, known English grammars appear to disagree stronglyExpand
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Discovering Relations among Named Entities from Large Corpora
Discovering the significant relations embedded in documents would be very useful not only for information retrieval but also for question answering and summarization. Prior methods for relationExpand
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Relation Extraction: Perspective from Convolutional Neural Networks
Up to now, relation extraction systems have made extensive use of features generated by linguistic analysis modules. Errors in these features lead to errors of relation detection and classification.Expand
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Comlex Syntax: Building a Computational Lexicon
We describe the design of Comlex Syntax, a computational lexicon providing detailed syntactic information for approximately 38,000 English headwords. We consider the types of errors which arise inExpand
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A maximum entropy approach to named entity recognition
This thesis describes a novel statistical named-entity (i.e. “proper name”) recognition system known as “MENE” (Maximum Entropy Named Entity). Named entity (N.E.) recognition is a form of informationExpand
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NOMLEX: a lexicon of nominalizations
NOMLEX (NOMinalization LEXicon) is a dictionary of English nominalizations currently under development at New York University. NOMLEX seeks not only to describe the allowed complements for aExpand
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