Abstract
This paper presents our contribution to the SemEval-2015 Task 7. The task was subdivided into three subtasks that consisted of automatically identifying the time period when a piece of news was written (1,2) as well as automatically determining whether a specific phrase in a sentence is relevant or not for a given period of time (3). Our system tackles the resolution of all three subtasks. With this purpose in mind multiple approaches are undertaken that use resources such as Wikipedia or Google NGrams. Final results are obtained by combining the output from all approaches. The texts used for the task are written in English and range from the years 1700 to 2000.
Cite
CITATION STYLE
Salaberri, H., Salaberri, I., Arregi, O., & Zapirain, B. (2015). IXAGroupEHUDiac: A Multiple Approach System towards the Diachronic Evaluation of Texts. In SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings (pp. 840–845). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s15-2145
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
