Papers with Universal Dependencies framework
Out-of-Domain Evaluation of Finnish Dependency Parsing (2022.lrec-1)
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| Challenge: | prevailing practice in academia evaluates model performance on in-domain evaluation data . however, in many real world applications data on which model is applied may differ from training data - a problem that is not addressed by current literature. |
| Approach: | They propose to use Finnish-OOD out-of-domain treebank for out- of-domain evaluation . they propose to include sections more challenging for the general parser . |
| Outcome: | The proposed treebank includes five distinct data sources and a total of 19,382 syntactic words in 2,122 sentences. |
The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project (2025.acl-long)
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| Challenge: | UD-NewsCrawl is the largest Tagalog treebank to date, with 15.6k trees manually annotated according to the Universal Dependencies framework. |
| Approach: | They propose to use UD-NewsCrawl to annotate Tagalog trees using the Universal Dependencies framework. |
| Outcome: | The proposed treebanks are based on the Universal Dependencies framework and have 15.6k trees annotated manually. |
Building a Universal Dependencies Treebank for Occitan (2020.lrec-1)
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Aleksandra Miletic, Myriam Bras, Marianne Vergez-Couret, Louise Esher, Clamença Poujade, Jean Sibille
| Challenge: | Low-resourced regional, non-official or minority languages often face lack of institutional support . low-resource languages often find themselves in a similar situation . |
| Approach: | They propose to create the first treebank for Occitan, a low-resourced regional language . they use an agile annotation approach and rely on pre-processing using existing tools . |
| Outcome: | The proposed treebank is the first for the low-resourced regional language Occitan . the project uses an agile annotation approach and automated pre-annotation . |
Evaluating the Quality of a Corpus Annotation Scheme Using Pretrained Language Models (2024.lrec-main)
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Furkan Akkurt, Onur Gungor, Büşra Marşan, Tunga Gungor, Balkiz Ozturk Basaran, Arzucan Özgür, Susan Uskudarli
| Challenge: | Pretrained language models and large language models are increasingly used to assist in a variety of natural language processing tasks. |
| Approach: | They propose to use pretrained language models and large language models to evaluate their quality in natural language processing. |
| Outcome: | The proposed annotation scheme (2.11) yields sentences with higher success rate than the previous one. |
Universal Grammatical Dependencies for Portuguese with CINTIL Data, LX Processing and CLARIN support (2022.lrec-1)
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| Challenge: | a new collection of quality language resources is presented for the computational processing of the Portuguese language . the framework for the mapping between linguistic form and meaning is centered on the notion of grammatical relation . |
| Approach: | They propose a new set of quality language resources for the computational processing of the Portuguese language under the Universal Dependencies framework. |
| Outcome: | The proposed framework provides for the mapping between linguistic form and meaning representations. |
Profiling-UD: a Tool for Linguistic Profiling of Texts (2020.lrec-1)
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| Challenge: | Profiling–UD is a text analysis tool that can be used to characterize language variation from different perspectives. |
| Approach: | They introduce Profiling–UD, a text analysis tool inspired to the principles of linguistic profiling that can support language variation research from different perspectives. |
| Outcome: | The proposed tool is specifically designed to be multilingual since it is based on the Universal Dependencies framework. |