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Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features
Deepak Venugopal
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Chen Chen
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Vibhav Gogate
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Vincent Ng
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron
Jun Araki
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Teruko Mitamura
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Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
Thien Huu Nguyen
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Ralph Grishman
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Exploiting Contextual Information via Dynamic Memory Network for Event Detection
Shaobo Liu
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Rui Cheng
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Xiaoming Yu
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Xueqi Cheng
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Similar but not the Same: Word Sense Disambiguation Improves Event Detection via Neural Representation Matching
Weiyi Lu
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Thien Huu Nguyen
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Markov Logic Networks for Text Mining: A Qualitative and Empirical Comparison with Integer Linear Programming
Luis Gerardo Mojica de la Vega
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Vincent Ng
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Joint Event Extraction via Recurrent Neural Networks
Thien Huu Nguyen
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Kyunghyun Cho
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Ralph Grishman
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Event Detection and Domain Adaptation with Convolutional Neural Networks
Thien Huu Nguyen
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Ralph Grishman
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A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
Thien Huu Nguyen
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Lisheng Fu
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Kyunghyun Cho
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Ralph Grishman
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SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction
Marco A. Valenzuela-Escárcega
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Gus Hahn-Powell
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Dane Bell
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Mihai Surdeanu
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Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing
Jari Björne
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Tapio Salakoski
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http://www.gurobi.com/
Field Of Study
Linguistic Trends
Discourse
Task
Corpus Annotation
Biomedical
Approach
Structured Prediction
Unsupervised Learning
Language
Chinese
English
Dataset
Twitter
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