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Ralph Grishman

Professor of Computer Science

1967 …2019
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Fingerprint Weighted list of dominant concepts in the researcher's publications (titles and abstracts).

Semantics Engineering & Materials Science
Linguistics Engineering & Materials Science
Syntactics Engineering & Materials Science
event Social Sciences
language Social Sciences
Labeling Engineering & Materials Science
Processing Engineering & Materials Science
evaluation Social Sciences

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Research Output 1967 2019

Twenty-five years of information extraction

Grishman, R., Jan 1 2019, (Accepted/In press) In : Natural Language Engineering.

Research output: Contribution to journalArticle

information content
Neural networks
neural network
Processing
evaluation

Graph convolutional networks with argument-aware pooling for event detection

Nguyen, T. H. & Grishman, R., Jan 1 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 5900-5907 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Syntactics
Convolution
Experiments

Including new patterns to improve event extraction systems

Cao, K., Li, X., Ma, W. & Grishman, R., Jan 1 2018, Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018. Rus, V. & Brawner, K. (eds.). AAAI press, p. 487-492 6 p. (Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Active learning based named entity recognition and its application in natural language coverless information hiding

Sun, H., Grishman, R. & Wang, Y., 2017, In : Journal of Internet Technology. 18, 2, p. 443-451 9 p.

Research output: Contribution to journalArticle

Labeling
Sampling
Problem-Based Learning
Big data

Distributed representation learning for knowledge graphs with entity descriptions

Fan, M., Zhou, Q., Zheng, T. F. & Grishman, R., Apr 15 2016, (Accepted/In press) In : Pattern Recognition Letters.

Research output: Contribution to journalArticle

Knowledge representation
Deep neural networks