no code implementations • GWC 2016 • Svetla Koeva, Svetlozara Leseva, Ivelina Stoyanova, Tsvetana Dimitrova, Maria Todorova
This paper presents a machine learning method for automatic identification and classification of morphosemantic relations (MSRs) between verb and noun synset pairs in the Bulgarian WordNet (BulNet).
no code implementations • LREC 2022 • Svetla Koeva, Ivelina Stoyanova, Jordan Kralev
One of the processing tasks for large multimodal data streams is automatic image description (image classification, object segmentation and classification).
no code implementations • GWC 2019 • Ivelina Stoyanova, Svetlozara Leseva
The paper presents current efforts towards linking two large lexical semantic resources – WordNet and FrameNet – to the end of their mutual enrichment and the facilitation of the access, extraction and analysis of various types of semantic and syntactic information.
no code implementations • CLIB 2020 • Svetlozara Leseva, Verginica Barbu Mititelu, Ivelina Stoyanova
Mature wordnets offer the opportunity of digging out interesting linguistic information otherwise not explicitly marked in the network.
no code implementations • CLIB 2020 • Svetlozara Leseva, Ivelina Stoyanova
We perform an evaluation of the procedures in terms of the quality of the suggestions measured as the potential improvement in precision and coverage, the relevance of the result and the efficiency of the procedure.
no code implementations • EACL (GWC) 2021 • Verginica Mititelu, Svetlozara Leseva, Ivelina Stoyanova
We thus employ a large-scale data-driven linguistically motivated analysis afforded by the rich derivational and morphosemantic description in WordNet to the end of capturing finer regularities in the process of derivation as represented in the semantic properties of the words involved and as reflected in the structure of the lexicon.
no code implementations • CLIB 2022 • Slavina Lozanova, Ivelina Stoyanova
This paper presents an online Bulgarian sign language dictionary covering terminology related to crisis management.
no code implementations • RANLP 2019 • Svetlozara Leseva, Ivelina Stoyanova
This paper outlines procedures for enhancing WordNet with conceptual information from FrameNet.
no code implementations • WS 2019 • Verginica Barbu Mititelu, Ivelina Stoyanova, Svetlozara Leseva, Maria Mitrofan, Tsvetana Dimitrova, Maria Todorova
The contribution of this work is in outlining essential features of the description and classification of VMWEs and the cross-language comparison at the lexical level, which is essential for the understanding of the need for uniform annotation guidelines and a viable procedure for validation of the annotation.
no code implementations • COLING 2018 • Carlos Ramisch, Silvio Ricardo Cordeiro, Agata Savary, Veronika Vincze, Verginica Barbu Mititelu, Archna Bhatia, Maja Buljan, C, Marie ito, Polona Gantar, Voula Giouli, Tunga G{\"u}ng{\"o}r, Abdelati Hawwari, Uxoa I{\~n}urrieta, Jolanta Kovalevskait{\.e}, Simon Krek, Timm Lichte, Chaya Liebeskind, Johanna Monti, Carla Parra Escart{\'\i}n, Behrang Qasemizadeh, Renata Ramisch, Nathan Schneider, Ivelina Stoyanova, Ashwini Vaidya, Abigail Walsh
Corpora were created for 20 languages, which are also briefly discussed.
no code implementations • WS 2017 • Agata Savary, Carlos Ramisch, Silvio Cordeiro, Federico Sangati, Veronika Vincze, Behrang Qasemizadeh, C, Marie ito, Fabienne Cap, Voula Giouli, Ivelina Stoyanova, Antoine Doucet
This paper presents the corpus annotation methodology and outcome, the shared task organisation and the results of the participating systems.
no code implementations • LREC 2012 • Svetla Koeva, Ivelina Stoyanova, Rositsa Dekova, Borislav Rizov, Angel Genov
The paper presents the methodology and the outcome of the compilation and the processing of the Bulgarian X-language Parallel Corpus (Bul-X-Cor) which was integrated as part of the Bulgarian National Corpus (BulNC).