A multilayer annotated corpus for Turkish
Künye
Yıldız, O. T., Ak, K., Ercan, G., Topsakal, O. & Asmazoğlu, C. (2018). A multilayer annotated corpus for turkish. Paper presented at the 2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP), 21-26. doi:10.1109/ICNLSP.2018.8374369Özet
In this paper, we present the first multilayer annotated corpus for Turkish, which is a low-resourced agglutinative language. Our dataset consists of 9,600 sentences translated from the Penn Treebank Corpus. Annotated layers contain syntactic and semantic information including morphological disambiguation of words, named entity annotation, shallow parse, sense annotation, and semantic role label annotation.
Kaynak
2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP)İlgili Öğeler
Başlık, yazar, küratör ve konuya göre gösterilen ilgili öğeler.
-
Parallel proposition bank construction for Turkish
Ak, Koray (Işık Üniversitesi, 2019-04-02)PropBank is the bank of propositions which contains hand-annotated corpus for predicate-argument information and semantic roles or arguments. It aims to provide an extensive dataset for enhancing NLP applications such as ... -
A semantic web application using ontology web language (OWL)
Oktay, Ahmet (Işık Üniversitesi, 2004-09)With the web, accessing and using information between remote systems became easier for people in comparison to the years before the web, but web users are still limited in their ability to reach and use this information. ... -
Exploring the relationship between annotation use of EFL learners and their learning styles
Şakar, Asım (Boğaziçi Üniversitesi, 2015-09-02)This study explores the relationship between (perceptual and cognitive) learning styles and the use of hypermedia annotations by intermediate EFL learners while reading a hypermedia text. The participants were 44 EFL adult ...