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We propose a joint event and temporal relation extraction model with shared representation learning and structured prediction.
The TIMEBANK corpus
James Pustejovsky, Patrick Hanks, Roser Sauri, Andrew See, Robert Gaizauskas, Andrea Setzer, Dragomir Radev, Beth Sundheim, David Day, and Lisa Ferro. 2003 · 2003
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Inducing temporal graphs
Philip Bramsen, Pawan Deshpande, Yoong Keok Lee, and Regina Barzilay. 2006 · 2006
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Machine learning of temporal relations
Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong Min Lee, and James Pustejovsky. 2006 · 2006
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Timelines from text: Identification of syntactic temporal relations
Steven Bethard, James H. Martin, and Sara Klingenstein. 2007 · 2007
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Classifying temporal relations between events
Nathanael Chambers, Shan Wang, and Dan Jurafsky. 2007 · 2007
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SemEval-2007 task 15: TempEval temporal relation identification
Marc Verhagen, Robert Gaizauskas, Frank Schilder, Mark Hepple, Graham Katz, and James Pustejovsky. 2007 · 2007
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Jointly combining implicit constraints improves temporal ordering
Nathanael Chambers and Dan Jurafsky. 2008 · 2008
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Temporal processing with the TARSQI toolkit
Marc Verhagen and James Pustejovsky. 2008 · 2008
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Jointly identifying temporal relations with Markov logic
Katsumasa Yoshikawa, Sebastian Riedel, Masayuki Asahara, and Yuji Matsumoto. 2009 · 2009
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SemEval-2010 task 13: Tempeval-2
Marc Verhagen, Roser Saurí, Tommaso Caselli, and James Pustejovsky. 2010 · 2010
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Predicting globally-coherent temporal structures from texts via endpoint inference and graph decomposition
Pascal Denis and Philippe Muller. 2011 · 2011
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Joint inference for event timeline construction
Quang Xuan Do, Wei Lu, and Dan Roth. 2012 · 2012
Cited alongside, same era.
Cleartk-TimeML: A minimalist approach to TempEval 2013
Steven Bethard. 2013 · 2013
Cited alongside, same era.
Navytime: Event and time ordering from raw text
Nate Chambers. 2013 · 2013
Cited alongside, same era.
UTTime: Temporal relation classification using deep syntactic features
Natsuda Laokulrat, Makoto Miwa, Yoshimasa Tsuruoka, and Takashi Chikayama. 2013 · 2013
Cited alongside, same era.
SemEval-2013 task 1: Tempeval-3: Evaluating time expressions, events, and temporal relations
Naushad UzZaman, Hector Llorens, Leon Derczynski, James Allen, Marc Verhagen, and James Pustejovsky. 2013 · 2013
Cited alongside, same era.
An annotation framework for dense event ordering
Taylor Cassidy, Bill McDowell, Nathanael Chambers, and Steven Bethard. 2014 · 2014
End-to-end relation extraction using LSTMs on sequences and tree structures
Makoto Miwa and Mohit Bansal. 2016 · 2016
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Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
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Richer Event Description: Integrating event coreference with temporal, causal and bridging annotation
Tim O’Gorman, Kristin Wright-Bettner, and Martha Palmer. 2016 · 2016
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Classifying temporal relations by bidirectional LSTM over dependency paths
Fei Cheng and Yusuke Miyao. 2017 · 2017
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Structured learning for temporal relation extraction from clinical records
Artuur Leeuwenberg and Marie-Francine Moens. 2017 · 2017
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Temporal information extraction for question answering using syntactic dependencies in an lstm-based architecture
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Cited alongside, same era.
Dense event ordering with a multi-pass architecture
Nathanael Chambers, Taylor Cassidy, Bill McDowell, and Steven Bethard. 2014 · 2014
Cited alongside, same era.
Incremental joint extraction of entity mentions and relations
Qi Li and Heng Ji. 2014 · 2014
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Modeling joint entity and relation extraction with table representation
Makoto Miwa and Yutaka Sasaki. 2014 · 2014
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Event detection and domain adaptation with convolutional neural networks
Thien Huu Nguyen and Ralph Grishman. 2015 · 2015
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A language-independent neural network for event detection
Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, and Ting Liu. 2016 · 2016
Cited alongside, same era.
Joint reasoning for temporal and causal relations
Qiang Ning, Zhili Feng, Hao Wu, and Dan Roth. 2018a
Cited in the paper.
Yuanliang Meng, Anna Rumshisky, and Alexey Romanov. 2017 · 2017
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A structured learning approach to temporal relation extraction
Qiang Ning, Zhili Feng, and Dan Roth. 2017 · 2017
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Neural architecture for temporal relation extraction: a bi-lstm approach for detecting narrative containers
Julien Tourille, Olivier Ferret, Aurelie Neveol, and Xavier Tannier. 2017 · 2017
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End-to-end neural relation extraction with global optimization
Meishan Zhang, Yue Zhang, and Guohong Fu. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Context-Aware neural model for temporal information extraction
Yuanliang Meng and Anna Rumshisky. 2018 · 2018
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