ITUTime: Turkish Temporal Expression Extraction and Normalization

Ayşenur Uzun*, A. Cüneyd Tantuğ

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence, Volume 2
Subtitle of host publicationSpecial Sessions 18th International Conference
EditorsSara Rodríguez González, José Manuel Machado, Alfonso González-Briones, Jaroslaw Wikarek, Roussanka Loukanova, George Katranas, Roberto Casado-Vara
PublisherSpringer Science and Business Media Deutschland GmbH
Pages74-85
Number of pages12
ISBN (Print)9783030868864
DOIs
Publication statusPublished - 2022
Event18th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2021 - Salamanca, Spain
Duration: 6 Oct 20218 Oct 2021

Publication series

NameLecture Notes in Networks and Systems
Volume332
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference18th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2021
Country/TerritorySpain
CitySalamanca
Period6/10/218/10/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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