Abstract
We introduce a rule based tagger of temporal expressions, ITUTime, for detecting and normalizing temporal expressions in Turkish language. The proposed system is morphologically aware and does not require any preprocessing steps, since ITUTime operates on free text. We also establish the first temporally annotated dataset of Turkish language. The work presented here locates itself as a baseline for tagging Turkish temporal expressions. The proposed system is evaluated on manually annotated test dataset and achieved 0.89 F1 score on recognizing and 0.89 F1 score on normalization.
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Uzun, A., Tantuğ, A.C. (2022). ITUTime: Turkish Temporal Expression Extraction and Normalization. In: González, S.R., et al. Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference. DCAI 2021. Lecture Notes in Networks and Systems, vol 332. Springer, Cham. https://doi.org/10.1007/978-3-030-86887-1_7
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DOI: https://doi.org/10.1007/978-3-030-86887-1_7
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