HIGHLIGHTS
- who: ŞAZİYE BETÜL ÖZATEŞ and collaborators from the Department of Computer Engineering, Boğaziçi University, Bebek, İstanbul, Turkey have published the Article: A Hybrid Deep Dependency Parsing Approach Enhanced with Rules and Morphology: A Case Study for Turkish, in the Journal: (JOURNAL)
- what: The authors propose two approaches to dependency parsing especially for languages with restricted amount of training data. The authors propose to take into account the language grammar and integrate the information extracted from the grammar to a deep learning-based dependency parser. The authors propose both rule . . .
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