Discourse Sense Classification from Scratch using Focused RNNs
G. Weiss and M. Bajec, “Discourse Sense Classification from Scratch using Focused RNNs,” in Proceedings of the Twentieth Conference on Computational Natural Language Learning - Shared Task, 2016, pp. 50–54.
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Learning Representations for Text-level Discourse Parsing
G. Weiss, “Learning Representations for Text-level Discourse Parsing,” in Proceedings of the ACL-IJCNLP 2015 Student Research Workshop, 2015, pp. 16–21.
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[Sem3] Generic feature extraction for text categorization
Related work review of "Generic feature extraction for text categorization".
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Sampling promotes community structure in social and information networks
N. Blagus, L. Šubelj, G. Weiss, and M. Bajec, “Sampling promotes community structure in social and information networks,” Phys. A Stat. Mech. its Appl., p. 15, 2015.
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Large networks grow smaller: How to choose the right simplification method?
N. Blagus, L. Šubelj, G. Weiss, and M. Bajec, “Large networks grow smaller: How to choose the right simplification method?,” in Proc. of NetSci’14, 2014.
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What coins the bitcoin? Exploratory analysis of bitcoin market value by network group discovery
L. Šubelj, G. Weiss, N. Blagus, and M. Bajec, “What coins the bitcoin? Exploratory analysis of bitcoin market value by network group discovery,” in Proc. of NetSci’14, 2014, vol. 105, no. 2008.
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