Turkish Universal Conceptual Cognitive Annotation

Necva Bölücü, Burcu Can


Abstract
Universal Conceptual Cognitive Annotation (UCCA) (Abend and Rappoport, 2013a) is a cross-lingual semantic annotation framework that provides an easy annotation without any requirement for linguistic background. UCCA-annotated datasets have been already released in English, French, and German. In this paper, we introduce the first UCCA-annotated Turkish dataset that currently involves 50 sentences obtained from the METU-Sabanci Turkish Treebank (Atalay et al., 2003; Oflazeret al., 2003). We followed a semi-automatic annotation approach, where an external semantic parser is utilised for an initial annotation of the dataset, which is partially accurate and requires refinement. We manually revised the annotations obtained from the semantic parser that are not in line with the UCCA rules that we defined for Turkish. We used the same external semantic parser for evaluation purposes and conducted experiments with both zero-shot and few-shot learning. While the parser cannot predict remote edges in zero-shot setting, using even a small subset of training data in few-shot setting increased the overall F-1 score including the remote edges. This is the initial version of the annotated dataset and we are currently extending the dataset. We will release the current Turkish UCCA annotation guideline along with the annotated dataset.
Anthology ID:
2022.lrec-1.10
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
89–99
Language:
URL:
https://aclanthology.org/2022.lrec-1.10
DOI:
Bibkey:
Cite (ACL):
Necva Bölücü and Burcu Can. 2022. Turkish Universal Conceptual Cognitive Annotation. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 89–99, Marseille, France. European Language Resources Association.
Cite (Informal):
Turkish Universal Conceptual Cognitive Annotation (Bölücü & Can, LREC 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl24-info/2022.lrec-1.10.pdf