Joint Event Extraction via Recurrent Neural Networks

Keywords

Computer science, Joint (building), Event (particle physics), Artificial intelligence, Extraction (chemistry)

References

• ADADELTA: An Adaptive Learning Rate MethodMatthew D. Zeiler — 2012
• Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain AdaptationSebastian Riedel, Andrew McCallum — 2011
• An Empirical Exploration of Recurrent Network ArchitecturesRafał Józefowicz, Wojciech Zaremba, Ilya Sutskever — 2015
• Efficient Estimation of Word Representations in Vector SpaceTomáš Mikolov, Kai Chen, Greg S. Corrado — 2013
• Convolutional Neural Networks for Sentence ClassificationYoon Kim — 2014
• Fast and Robust Joint Models for Biomedical Event ExtractionSebastian Riedel, Andrew McCallum — 2011
• Joint Inference for Knowledge Extraction from Biomedical LiteratureHoifung Poon, Lucy Vanderwende — 2010
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence ModelingJun‐Young Chung, Çağlar Gülçehre, Kyunghyun Cho — 2014
• A Markov Logic Approach to Bio-Molecular Event ExtractionSebastian Riedel, Hong-Woo Chun, Toshihisa Takagi — 2009
• Long short-term memory in recurrent neural networksFelix A. Gers — 2001
• Long Short-Term MemorySepp Hochreiter, Jürgen Schmidhuber — 1997
• The stages of event extractionDavid Ahn — 2006
• Event Extraction as Dependency ParsingDavid McClosky, Mihai Surdeanu, Christopher D. Manning — 2011
• Learning long-term dependencies with gradient descent is difficultYoshua Bengio, P. Simard, Paolo Frasconi — 1994
• Using Document Level Cross-Event Inference to Improve Event ExtractionShasha Liao, Ralph Grishman — 2010
• A unified architecture for natural language processing: deep neural networks with multitask learningRonan Collobert, Jason Weston — 2008
• Predicting Unknown Time Arguments based on Cross-Event PropagationPrashant Gupta, Heng Ji — 2009
• Using Cross-Entity Inference to Improve Event ExtractionYu Hong, Jianfeng Zhang, Bin Ma — 2011
• A Unified Model of Phrasal and Sentential Evidence for Information ExtractionSiddharth Patwardhan, Ellen Riloff — 2009
• Distributed Representations of Words and Phrases and their CompositionalityTomáš Mikolov, Ilya Sutskever, Kai Chen — 2013

Cited by

• A Two-stage Approach for Extending Event Detection to New Types via Neural NetworksThien Huu Nguyen, Lisheng Fu, Kyunghyun Cho — 2016
• Information Extraction with Character-level Neural Networks and Noisy SupervisionPhilipp Meerkamp, Zhengyi Zhou — 2016
• Modeling Skip-Grams for Event Detection with Convolutional Neural NetworksThien Huu Nguyen, Ralph Grishman — 2016
• Incremental Global Event ExtractionAlex Judea, Michael Strube — 2016
• Joint Learning of Local and Global Features for Entity Linking via Neural NetworksThien Huu Nguyen, Nicolas Rodolfo Fauceglia, Mariano Rodriguez Muro — 2016
• Automatically Labeled Data Generation for Large Scale Event ExtractionYubo Chen, Shulin Liu, Xiang Zhang — 2017
• End-to-End Information Extraction without Token-Level SupervisionRasmus Palm, Dirk Hovy, Florian Laws — 2017
• Exploiting Argument Information to Improve Event Detection via Supervised Attention MechanismsShulin Liu, Yubo Chen, Kang Liu — 2017
• Word Sense Disambiguation: A Unified Evaluation Framework and Empirical ComparisonAlessandro Raganato, José Camacho-Collados, Roberto Navigli — 2017
• Leveraging Knowledge Bases in LSTMs for Improving Machine ReadingBishan Yang, Tom M. Mitchell — 2017
• A Neural Model for Joint Event Detection and SummarizationZhongqing Wang, Yue Zhang — 2017
• Représentations et modèles en extraction d'événements superviséeDorian Kodelja, Romaric Besançon, Ferret, Olivier — 2017
• Unsupervised Event Clustering and Aggregation from Newswire and Web ArticlesSwen Ribeiro, Olivier Ferret, Xavier Tannier — 2017
• Boosting Information Extraction Systems with Character-level Neural Networks and Free Noisy SupervisionPhilipp Meerkamp, Zhengyi Zhou — 2017
• Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention SeparatorsAldrian Obaja Muis, Wei Lu — 2017
• Supervised algorithms for complex relation extractionGitansh Khirbat — 2017
• Improving Event Extraction via Multimodal IntegrationTongtao Zhang, Spencer Whitehead, Hanwang Zhang — 2017
• Scale Up Event Extraction Learning via Automatic Training Data GenerationYing Zeng, Yansong Feng, Rong Ma — 2017
• Event Argument Identification on Dependency Graphs with Bidirectional LSTMsAlex Judea, Michael Strube — 2017
• Embracing Non-Traditional Linguistic Resources for Low-resource Language Name TaggingBoliang Zhang, Di Lu, Xiaoman Pan — 2017

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