Building the Turkish FrameNet

By Büsra Marsan, Neslihan Kara, Merve Özçelik, Bilge Nas Arıcan, Neslihan Cesur, Aslı Kuzgun, Ezgi Sanıyar, O. Kuyrukçu, Olcay Taner Yildiz. Global WordNet Conference, 2021

15 citations recorded by the source corpus.

FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et al., 2001) is a computational lexicography project that aims to offer insight into the semantic relationships between predicate and arguments. Having uses in many NLP applications, FrameNet has proven itself as a valuable resource. The main goal of this study is laying the foundation for building a comprehensive and cohesive Turkish FrameNet that is compatible with other resources like PropBank (Kara et al., 2020) or WordNet (Bakay et al., 2019; Ehsani, 2018; Ehsani et al., 2018; Parlar et al., 2019; Bakay et al., 2020) in the Turkish language.

Subfields: Language and Linguistics, Computational Linguistics & Semantics, Knowledge Graphs & Representation

View Paper: https://doi.org/10.18653/v1/2021.gwc-1.14

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Citations in the corpus

Enhancements to the BOUN Treebank Reflecting the Agglutinative Nature of Turkish (2022, methodology): “Penn Treebank consists of Turkish translations of English Penn Treebank [14] while FrameNet consists of 2,700 sentences from the Turkish FrameNet database [15].”
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”
A Linguistically Grounded Sense Inventory for Uzbek Polysemous Words (2026, unknown): “BERTbek provides Uzbek-specific pretrained language models for downstream modeling [7].”
SindBERT, the Sailor: Charting the Seas of Turkish NLP (2025, unknown): “This diverse set reflects different domains such as spoken language, newswire, and tourism.”
FrameNet at 25 (2024, unknown): “7 The examples in Table 1 illustrate these concepts 8 :”
Resources for Turkish natural language processing: A critical survey (2022, methodology): “A Turkish FrameNet was recently introduced (Marşan et al., 2021).”
A Semi-Automated Approach to the Annotation of Argument Structures in Turkish Datasets (2025, unknown): “FrameNet contains example sentences crafted for the Turkish FrameNet project (Marsan et al., 2021) to illustrate semantic frames.”
StarNet: A WordNet Editor Interface (2023, methodology): “For future work, we intend to use it in other target language WordNets and incorporate Turkish FrameNet (Baker et al., 1998) (Marsan et al., 2021) into this editor and make it able to create and edit frame relations of languages.”
Time Travel in Turkish: WordNets for Modern Turkish (2022, methodology): “A FrameNet for Turkish has been done previously by (Mars¸an et al., 2021).”
Introducing StarDust: A UD-based Dependency Annotation Tool (2022, methodology): “Turkish FrameNet Project : In this project, about 2,500 example sentences were manually annotated with the help of our annotation tool (Marsan et al., 2021).”
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).”