AMBRA: A Ranking Approach to Temporal Text Classification

Marcos Zampieri, Alina Maria Ciobanu, Vlad Niculae, Liviu P. Dinu

In: Proceedings of the 9th Workshop on Semantic Evaluation (SemEval). International Workshop on Semantic Evaluation (SemEval) befindet sich NAACL June 4-5 Denver Colorado United States ACL 2015.


This paper describes the AMBRA system, entered in the SemEval-2015 Task 7: ‘Diachronic Text Evaluation’ subtasks one and two, which consist of predicting the date when a text was originally written. The task is valuable for applications in digital humanities, information systems, and historical linguistics. The novelty of this shared task consists of incorporating label uncertainty by assigning an interval within which the document was written, rather than assigning a clear time marker to each training document. To deal with non-linear effects and variable degrees of uncertainty, we reduce the problem to pairwise comparisons of the form is Document A older than Document B? , and propose a non-parametric way to transform the ordinal output into time intervals. (pdf, 56 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence