TRopBank: Turkish PropBank V2.0
By Neslihan Kara, Deniz Baran Aslan, Büsra Marsan, Özge Bakay, Koray Ak, Olcay Taner Yildiz. International Conference on Language Resources and Evaluation, 2020
13 citations recorded by the source corpus.
Subfields: Language and Linguistics, Natural Language Processing, Computational Linguistics & Semantics
View Paper: https://www.semanticscholar.org/paper/52c446d258605ba685457265d2e0f6461119f040
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Language and Linguistics
- Olcay Taner Yildiz
- Büsra Marsan
- Aslı Kuzgun
- Ezgi Sanıyar
- O. Kuyrukçu
- Bilge Nas Arıcan
- Neslihan Cesur
- Merve Özçelik
In Natural Language Processing
- Olcay Taner Yildiz
- Aslı Kuzgun
- Büsra Marsan
- Neslihan Cesur
- Oğuz Kerem Yıldız
- Bilge Nas Arıcan
- Deniz Baran Aslan
- Merve Özçelik
In Computational Linguistics & Semantics
- Olcay Taner Yildiz
- Büsra Marsan
- Aslı Kuzgun
- Bilge Nas Arıcan
- Neslihan Cesur
- Ezgi Sanıyar
- O. Kuyrukçu
- Oğuz Kerem Yıldız
Citations in the corpus
- A Learning-Based Dependency to Constituency Conversion Algorithm for the Turkish Language (2022, background): “We decided that the bar level production is not necessary for properly reflecting the argument structure of the verb since there is also a Turkish PropBank ready (Kara et al., 2020).”
- FrameForm: An Open-source Annotation Interface for FrameNet (2021, methodology): “For the purposes of Turkish FrameNet, we used Turkish WordNet KeNet (Bakay et al., 2021) in order to make Turkish FrameNet compatible with other resources in Turkish (such as Turkish PropBank (Kara et al., 2020)) yet it is possible to introduce different dictionaries or WordNets in order to use Fram”
- Creating A Syntactically Felicitous Constituency Treebank For Turkish (2020, background): “As a result, TRopBank [24] can also be integrated in order to enhance the constituency treebank with a layer of semantic information.”
- An Annotation Guideline Aligned with Multilingual Practice and a 3,000-Sentence Gold-Standard Dataset for Turkish AMR (2026, unknown): “0) [10] tarafından sağlanan, 773 fiil çerçevesini kapsar.”
- The robotic-surgery propositional bank (2023, background): “Kara et al. (2020), Mirzaei and Moloodi (2016), Moeller et al. (2020) instead have built a general-domain PropBank specificforTurkish,PersianandRussianrespectively.”
- The Robotic Surgery Procedural Framebank (2022, methodology): “There are also several recent works presenting a Prop-bank with language-specific lexicons for languages other than English, such as Tamil (Antony et al., 2020) in which they perform a SRL task in Tamil Biomedicine texts, extracting domain specific verbs and related semantic roles used for the learn”
- A Semi-Automated Approach to the Annotation of Argument Structures in Turkish Datasets (2025, unknown): “0 (Kara et al., 2020).”
- Comparing UMR and Cross-lingual Adaptations of AMR (2023, background): “…of the relationship between a phrase’s individual to-kens and its overall meaning (Urešová et al., 2014; van der Plas et al., 2010; De Clercq et al., 2012; Kara et al., 2020 structure associated with the overall (idiomatic) semantics, especially when the expression is not fully compositional.”
- Time Travel in Turkish: WordNets for Modern Turkish (2022, background): “For example, in 2020 a new version of Turkish PropBank, TRopBank, has been created (Kara et al., 2020).”
- Turkish WordNet KeNet (2021, methodology): “KeNet has been used as a source in other NLP studies on Turkish such as Turkish PropBank TRopBank (Kara et al., 2020), Turkish SentiNet HisNet (Ozcelik et al., 2020), Turkish FrameNet (Marsan et al., 2020) and domain wordnets for Es-tate (Parlar et al., 2019) and Tourism (Arican et al., 2020).”