Daudzslāņu valodas resursu kopa teksta semantiskai analīzei un sintēzei latviešu valodā (FullStack-LV)

Year 2016 Dec - 2019 Nov
Funding Eiropas Reģionālās attīstības fonds (ERAF)
Praktiskas ievirzes pētījumi
1.1.1.1/16/A/219
Participants LETA
Homepage https://github.com/LUMII-AILab/FullStack

Publications

Title Published
Deriving a PropBank Corpus from Parallel FrameNet and UD Corpora Proceedings of the International FrameNet Workshop 2020: Towards a Global, Multilingual FrameNet, 2020
Abstract syntax as interlingua: Scaling up the grammatical framework from controlled languages to robust pipelines Computational Linguistics, 2020
Latviešu valodas sintaktiski marķētā korpusa gramatikas modelis Language: Meaning and Form, 2019
Enriching an Explanatory Dictionary with FrameNet and PropBank Corpus Examples Proceedings of the 6th Biennial Conference on Electronic Lexicography (eLex), 2019
Līdzsvarotais mūsdienu latviešu valodas tekstu korpuss, tā nozīme gramatikas pētījumos Language: Meaning and Form, 2019
Multilayer Corpus and Toolchain for Full-Stack NLU in Latvian Proceedings of the CLARIN Annual Conference 2018, 2018
Latvian FrameNet: Cross-Lingual Issues Human Language Technologies - The Baltic Perspective, IOS Press, 2018
NLP-PIPE: Latvian NLP Tool Pipeline Human Language Technologies - The Baltic Perspective, IOS Press, 2018
Extending Tēzaurs.lv Online Dictionary into a Morphological Lexicon Human Language Technologies - The Baltic Perspective, IOS Press, 2018
Deriving Enhanced Universal Dependencies from a Hybrid Dependency-Constituency Treebank Text, Speech, and Dialogue, Springer, 2018
Looking for a Needle in a Haystack: Semi-automatic Creation of a Latvian Multi-word Dictionary from Small Monolingual Corpora Proceedings of the 18th EURALEX International Congress, 2018
Creation of Latvian FrameNet based on Universal Dependencies Proceedings of the International FrameNet Workshop (IFNW), 2018
Creation of a Balanced State-of-the-Art Multilayer Corpus for NLU Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC), 2018
RIGOTRIO at SemEval-2017 Task 9: Combining machine learning and grammar engineering for AMR parsing and generation Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval), 2017

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