Items where Author is "Kerren, Andreas"

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Number of items: 7.

Simaki, Vasiliki and Paradis, Carita and Skeppstedt, Maria and Sahlgren, Magnus and Kucher, Kostiantyn and Kerren, Andreas (2020) Annotating speaker stance in discourse : the Brexit Blog Corpus. Corpus Linguistics and Linguistic Theory. ISSN 1613-7027

Simaki, Vasiliki and Simakis, Panagiotis and Paradis, Carita and Kerren, Andreas (2018) Detection of Stance-Related Characteristics in Social Media Text. In: SETN '18 Proceedings of the 10th Hellenic Conference on Artificial Intelligence : 10th Hellenic Conference on Artificial Intelligence. Association for Computing Machinery, Inc, New York. ISBN 9781450364331

Simaki, Vasiliki and Paradis, Carita and Kerren, Andreas (2018) Evaluating stance-annotated sentences from political blogs regarding the Brexit : a quantitative analysis. ICAME Journal, 42 (1). ISSN 1502-5462

Martins, Rafael Messias and Simaki, Vasiliki and Paradis, Carita and Kerren, Andreas (2017) A Visual Analytics System for the Exploration of Stance in Social Media. In: 2nd Workshop on Visualization for the Digital Humanities, IEEE VIS 2017, 2017-10-10.

Skeppstedt, Maria and Simaki, Vasiliki and Paradis, Carita and Kerren, Andreas (2017) Detection of stance and sentiment modifiers in political blogs. In: SPECOM 2017 : Speech and Computer. Lecture Notes in Computer Science . Springer, Cham, pp. 302-311. ISBN 9783319665286

Simaki, Vasiliki and Simakis, Panagiotis and Paradis, Carita and Kerren, Andreas (2017) Identifying the Authors’ National Variety of English in Social Media Text. In: Proceedings of RANLP 2017 - Recent Advances in Natural Language Processing : Meet Deep Learning. Association for Computational Linguistics, pp. 671-678. ISBN 9789544520489

Simaki, Vasiliki and Paradis, Carita and Kerren, Andreas (2017) Stance Classification in Texts from Blogs on the 2016 British Referendum. In: Proceedings of the 19th International Conference on Speech and Computer – SPECOM 2017 :. Lecture Notes in Computer Science . Springer, Cham, pp. 700-709. ISBN 9783319664286

This list was generated on Thu Apr 24 09:51:26 2025 UTC.