TempEval-3: Evaluating Events, Time Expressions, and Temporal Relations
By N. UzZaman, H. Llorens, James F. Allen, Leon Derczynski, Marc Verhagen, James Pustejovsky. 2012
124 citations recorded by the source corpus.
We describe the TempEval-3 task which is currently in preparation for the SemEval-2013 evaluation exercise. The aim of TempEval is to advance research on temporal information processing. TempEval-3 follows on from previous TempEval events, incorporating: a three-part task structure covering event, temporal expression and temporal relation extraction; a larger dataset; and single overall task quality scores.
Subfields: Computer Networks and Communications, Evaluation & Benchmarks, Information Extraction, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Evaluation & Benchmarks
- Iryna Gurevych
- Nils Reimers
- Leon Derczynski
- Marc Verhagen
- James F. Allen
- James Pustejovsky
- Niklas Muennighoff
- Roland Vollgraf
In Information Extraction
In Signal Processing
- Iryna Gurevych
- Nils Reimers
- James Pustejovsky
- Alan Akbik
- Roland Vollgraf
- Miguel Ballesteros
- Eliyahu Kiperwasser
- Karin M. Verspoor
Citations in the corpus
- Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks (2017, methodology): “he Salyut 6 spacecraft. The performance is measured as for the chunking, NER and Entities task by computing the F 1 score. The best system of the TempEval3 shared task achieved a F 1 score of 81.05% (UzZaman et al., 2012). 5 Evaluation Methology In this paper we evaluate different hyperparameters an”
- SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations (2013, background): “TempEval-3 (UzZaman et al., 2012b) is a follow-up to TempEval 1 and 2, covering English and Spanish.”