SemEval-2010 Task 13: TempEval-2

By Marc Verhagen, Roser Saurí, Tommaso Caselli, James Pustejovsky. International Workshop on Semantic Evaluation, 2010

428 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/807aac46a06742026a365c978a8b5ff180f3d5cb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Rujun Han
2. Qiang Ning
3. Nanyun Peng
4. Dan Roth
5. Steven Bethard
6. Xiang Ren
7. Hao Wu
8. Shuaicheng Zhang

Citations in the corpus

• SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations (2013, background): “TempEval-2 (Verhagen et al., 2010) extended TempEval-1, growing into a multilingual task, and consisting of six subtasks rather than three.”
• HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding (2018, unknown): “The task of extracting temporally rich events and time expressions and ordering between them is introduced in TempEval challenge (UzZaman et al., 2013; Verhagen et al., 2010).”
• SemEval-2017 Task 12: Clinical TempEval (2017, methodology): “The TempEval shared tasks have, since 2007, provided a focus for research on temporal information extraction (Verhagen et al., 2007, 2010; UzZaman et al., 2013).”
• SemEval-2015 Task 6: Clinical TempEval (2015, background): “The TempEval shared tasks have, since 2007, provided a focus for research on temporal information extraction (Verhagen et al., 2007; Verhagen et al., 2010; UzZaman et al., 2013).”
• TempEval-3: Evaluating Events, Time Expressions, and Temporal Relations (2012, background): “TempEval-2 (Verhagen et al., 2010) extended TempEval-1, growing into a multilingual task, and consisting of six subtasks rather than three.”
• Contextualized Word Embeddings Enhanced Event Temporal Relation Extraction for Story Understanding (2019, background): “The series of TempEval competitions (Verhagen et al., 2007, 2010; UzZaman et al., 2013)”
• A Multi-Axis Annotation Scheme for Event Temporal Relations (2018, background): “…number of TempRel datasets have been collected, including but not limited to the verb-clause augmentation to TB (Bethard et al., 2007), TempEval1-3 (Verhagen et al., 2007, 2010; UzZa-man et al., 2013), TimeBank-Dense (TB-Dense) (Cassidy et al., 2014), EventTimeCorpus (Reimers et al., 2016), and…”
• Deep Structured Neural Network for Event Temporal Relation Extraction (2019, background): “The series of TempEval competitions (Verhagen et al., 2007, 2010; UzZaman et al., 2013) attract many research interests in predicting event temporal relations.”
• SemEval-2016 Task 12: Clinical TempEval (2016, background): “The TempEval shared tasks have, since 2007, provided a focus for research on temporal information extraction (Verhagen et al., 2007; Verhagen et al., 2010; UzZaman et al., 2013).”
• HiEve: A Corpus for Extracting Event Hierarchies from News Stories (2014, methodology): “In TempEval-2 (Verhagen et al., 2010), the best performance was achieved by the system using supervised machine learning with Markov logic networks (UzZaman and Allen, 2010).”
• Extracting Temporal Event Relation with Syntactic-Guided Temporal Graph Transformer (2021, methodology): “…relation extraction mainly model it as a pairwise classification problem (Mani et al., 2006a; Verhagen et al., 2007; Verhagen and Pustejovsky, 2008; Verhagen et al., 2010; Bethard et al., 2016; MacAvaney et al., 2017) and use statistical machine learning techniques with hand-crafted features and…”
• Using Coreference Links to Improve Spanish-to-English Machine Translation (2017, methodology): “These metrics are implemented in the scorer for CoNLL 2012 (Pradhan et al., 2014) and the SemEval 2013 one (Màrquez et al., 2013).”
• Joint Reasoning for Temporal and Causal Relations (2018, methodology): “Multiple datasets with temporal annotations are available thanks to the TempEval (TE) workshops (Verhagen et al., 2007, 2010; UzZaman et al., 2013).”
• Joint Inference for Event Timeline Construction (2012, methodology): “We also lifted several restrictions imposed in previous work (Bethard et al., 2007; Yoshikawa et al., 2009; Verhagen et al., 2010).”
• Extracting Human Temporal Orientation from Facebook Language (2015, background): “The SemEval competitions have provided data sets that facilitate the comparison of different meth-ods for evaluating time expressions, events, and temporal relations (Verhagen et al., 2007; Verhagen et al., 2010; UzZaman et al., 2013).”