{
 "id": "GEM/surface_realisation_st_2020",
 "owner": "GEM",
 "name": "surface_realisation_st_2020",
 "downloads": 898,
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 "last_modified": "2022-10-24T15:30:30.000Z",
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 "citation": "@inproceedings{mille-etal-2020-third,\n    title = \"The Third Multilingual Surface Realisation Shared Task ({SR}{'}20): Overview and Evaluation Results\",\n    author = \"Mille, Simon  and\n      Belz, Anya  and\n      Bohnet, Bernd  and\n      Castro Ferreira, Thiago  and\n      Graham, Yvette  and\n      Wanner, Leo\",\n    booktitle = \"Proceedings of the Third Workshop on Multilingual Surface Realisation\",\n    month = dec,\n    year = \"2020\",\n    address = \"Barcelona, Spain (Online)\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2020.msr-1.1\",\n    pages = \"1--20\",\n    abstract = \"This paper presents results from the Third Shared Task on Multilingual Surface Realisation (SR{'}20) which was organised as part of the COLING{'}20 Workshop on Multilingual Surface Realisation. As in SR{'}18 and SR{'}19, the shared task comprised two tracks: (1) a Shallow Track where the inputs were full UD structures with word order information removed and tokens lemmatised; and (2) a Deep Track where additionally, functional words and morphological information were removed. Moreover, each track had two subtracks: (a) restricted-resource, where only the data provided or approved as part of a track could be used for training models, and (b) open-resource, where any data could be used. The Shallow Track was offered in 11 languages, whereas the Deep Track in 3 ones. Systems were evaluated using both automatic metrics and direct assessment by human evaluators i",
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