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Message Understanding Conference- 6: A Brief History
TLDR
MUC-6 introduced several innovations over prior MUCs, most notably in the range of different tasks for which evaluations were conducted and the motivations for the new format.
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Joint Event Extraction via Recurrent Neural Networks
TLDR
This work proposes to do event extraction in a joint framework with bidirectional recurrent neural networks, thereby benefiting from the advantages of the two models as well as addressing issues inherent in the existing approaches.
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The NomBank Project: An Interim Report
TLDR
The NomBank project is described, a project that will provide argument structure for instances of common nouns in the Penn Treebank II corpus, and its specifications and the process involved in creating the resource are described.
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Overview of the TAC 2010 Knowledge Base Population Track
TLDR
An overview of the task definition and annotation challenges associated with KBP2010 is provided and the evaluation results and lessons that are learned are discussed based on detailed analysis.
Discovering Relations among Named Entities from Large Corpora
TLDR
Using one year of newspapers reveals not only that the relations among named entities could be detected with high recall and precision, but also that appropriate labels could be automatically provided for the relations.
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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 strongly…
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Relation Extraction: Perspective from Convolutional Neural Networks
TLDR
This work introduces a convolutional neural network for relation extraction that automatically learns features from sentences and minimizes the dependence on external toolkits and resources.
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Comlex Syntax: Building a Computational Lexicon
TLDR
The design of Comlex Syntax is described, a computational lexicon providing detailed syntactic information for approximately 38,000 English headwords, and the types of errors which arise in creating such a lexicon are considered.
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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 a…
Paraphrasing for Style
TLDR
This work shows that even with a relatively small amount of parallel training data, it is possible to learn paraphrase models which capture stylistic phenomena, and these models outperform baselines based on dictionaries and out-of-domain parallel text.
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