BibTeX

@inProceedings{hoang-etal-2019-aspect-284269,
	title        = {Aspect-Based Sentiment Analysis using BERT},
	booktitle    = {Proceedings of the 22nd Nordic Conference on Computational Linguistics, 30 September–2 October, 2019, Turku, Finland / Mareike Hartmann, Barbara Plank (Editors)},
	author       = {Hoang, M. and Bihorac, O. A. and Rouces, Jacobo},
	year         = {2019},
	publisher    = {Linköping University Electronic Press},
	address      = {Sweden},
	ISBN         = {978-91-7929-995-8},
}

@inProceedings{lindahl-etal-2019-towards-286588,
	title        = {Towards Assessing Argumentation Annotation - A First Step},
	abstract     = {This paper presents a first attempt at using Walton’s argumentation schemes for annotating arguments in Swedish political text and assessing the feasibility of using this particular set of schemes with two linguistically trained annotators. The texts are not pre-annotated with argumentation structure beforehand. The results show that the annotators differ both in number of annotated arguments and selection of the conclusion and premises which make up the arguments. They also differ in their labeling of the schemes, but grouping the schemes increases their agreement. The outcome from this will be used to develop guidelines for future annotations.},
	booktitle    = {Proceedings of the 6th Workshop on Argument Mining, August 1, 2019, Florence, Italy / Benno Stein, Henning Wachsmuth (Editors)},
	author       = {Lindahl, Anna and Borin, Lars and Rouces, Jacobo},
	year         = {2019},
	publisher    = {Association for Computational Linguistics},
	address      = {Stroudsburg, PA},
	ISBN         = {978-1-950737-33-8},
}

@inProceedings{rouces-etal-2019-tracking-281308,
	title        = {Tracking Attitudes Towards Immigration in Swedish Media},
	abstract     = {We use a gold standard under construction for sentiment analysis in Swedish to explore how attitudes towards immigration change across time and media. We track the evolution of attitude starting from the year 2000 for three different Swedish media: the national newspapers Aftonbladet and Svenska Dagbladet, representing different halves of the left–right political spectrum, and the online forum Flashback.},
	booktitle    = {CEUR Workshop Proceedings (Vol. 2364).  Digital Humanities in the Nordic Countries 4th Conference, Copenhagen, Denmark, March 5-8, 2019. },
	author       = {Rouces, Jacobo and Borin, Lars and Tahmasebi, Nina},
	year         = {2019},
	publisher    = {CEUR Workshop Proceedings},
	address      = {Aachen },
}

@inProceedings{rouces-etal-2019-political-281307,
	title        = {Political Stance Analysis Using Swedish Parliamentary Data},
	abstract     = {We process and visualize Swedish parliamentary data using methods from statistics and machine learning, which allows us to obtain insight into the political processes behind the data. We produce plots that let us infer the relative stance of political parties and their members on different topics. In addition, we can infer the degree of homogeneity of individual votes within different parties, as well as the degree of multi-dimensionality of Swedish politics.},
	booktitle    = {CEUR Workshop Proceedings (Vol. 2364).  Digital Humanities in the Nordic Countries 4th Conference, Copenhagen, Denmark, March 5-8, 2019.},
	author       = {Rouces, Jacobo and Borin, Lars and Tahmasebi, Nina},
	year         = {2019},
	publisher    = {CEUR },
	address      = {Aachen },
}