Gizem Gezici
2020
#Turki$hTweets: A Benchmark Dataset for Turkish Text Correction
Asiye Tuba Koksal
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Ozge Bozal
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Emre Yürekli
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Gizem Gezici
Findings of the Association for Computational Linguistics: EMNLP 2020
#Turki$hTweets is a benchmark dataset for the task of correcting the user misspellings, with the purpose of introducing the first public Turkish dataset in this area. #Turki$hTweets provides correct/incorrect word annotations with a detailed misspelling category formulation based on the real user data. We evaluated four state-of-the-art approaches on our dataset to present a preliminary analysis for the sake of reproducibility.
2013
SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Gizem Gezici
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Rahim Dehkharghani
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Berrin Yanikoglu
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Dilek Tapucu
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Yucel Saygin
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
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Co-authors
- Rahim Dehkharghani 1
- Berrin Yanikoglu 1
- Dilek Tapucu 1
- Yucel Saygin 1
- Asiye Tuba Koksal 1
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