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Ralph Grishman

Researcher at New York University

Publications -  283
Citations -  16502

Ralph Grishman is an academic researcher from New York University. The author has contributed to research in topics: Information extraction & Relationship extraction. The author has an hindex of 58, co-authored 281 publications receiving 15077 citations. Previous affiliations of Ralph Grishman include Courant Institute of Mathematical Sciences.

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Proceedings ArticleDOI

Message Understanding Conference-6: a brief history

Ralph Grishman, +1 more
TL;DR: 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.
Proceedings ArticleDOI

Joint Event Extraction via Recurrent Neural Networks

Thien Huu Nguyen, +2 more
TL;DR: 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.

Overview of the TAC 2010 Knowledge Base Population Track

Heng Ji, +5 more
TL;DR: 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.

A maximum entropy approach to named entity recognition

Ralph Grishman, +1 more
TL;DR: This thesis describes a novel statistical named-entity recognition system known as MENE (Maximum Entropy Named Entity), and demonstrates the trans-lingual portability of the system, which was competitive with the best systems built by native Japanese speakers despite the fact that the author speaks no Japanese.
Proceedings ArticleDOI

Relation Extraction: Perspective from Convolutional Neural Networks

Thien Huu Nguyen, +1 more
TL;DR: 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.