BibTeX

@inProceedings{adesam-etal-2018-eukalyptus-273839,
	title        = {The Eukalyptus Treebank of Written Swedish},
	booktitle    = {Seventh Swedish Language Technology Conference (SLTC), Stockholm, 7–9 November 2018},
	author       = {Adesam, Yvonne and Bouma, Gerlof and Johansson, Richard and Borin, Lars and Forsberg, Markus},
	year         = {2018},
}

@inProceedings{adesam-etal-2018-koala-273841,
	title        = {The Koala Part-of-Speech and Morphological Tagset for Swedish},
	booktitle    = {Seventh Swedish Language Technology Conference (SLTC), Stockholm, 7-9 November, 2018},
	author       = {Adesam, Yvonne and Bouma, Gerlof and Johansson, Richard},
	year         = {2018},
}

@inProceedings{fares-etal-2018-2018-272105,
	title        = {The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers},
	abstract     = {We summarize empirical results and tentative conclusions from the Second Extrinsic Parser  Evaluation Initiative (EPE 2018). We review the basic task setup, downstream applications involved, and end-to-end results  for  seventeen  participating  parsers. Based  on  both  quantitative  and  qualitative analysis,  we correlate intrinsic evaluation results at different layers of morph-syntactic  analysis  with  observed  downstream behavior.},
	booktitle    = {Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies},
	author       = {Fares, Murhaf and Oepen, Stephan and Øvrelid, Lilja and Björne, Jari and Johansson, Richard},
	year         = {2018},
	publisher    = {Association for Computational Linguistics},
}

@inProceedings{nietopina-johansson-2018-automatically-270261,
	title        = {Automatically Linking Lexical Resources with Word Sense Embedding Models},
	abstract     = {Automatically learnt word sense embeddings are developed as an attempt to refine the capabilities of coarse word embeddings. The word sense representations obtained this way are, however, sensitive to underlying corpora and parameterizations, and they might be difficult to relate to word senses as formally defined by linguists. We propose to tackle this problem by devising a mechanism to establish links between word sense embeddings and lexical resources created by experts. We evaluate the applicability of these links in a task to retrieve instances of Swedish word senses not present in the lexicon.},
	booktitle    = {The Third Workshop on Semantic Deep Learning (SemDeep-3), August 20th, 2018, Santa Fe, New Mexico, USA / Luis Espinosa Anke, Thierry Declerck, Dagmar Gromann (eds.)},
	author       = {Nieto Piña, Luis and Johansson, Richard},
	year         = {2018},
	ISBN         = {978-1-948087-56-8},
}