By Dr Susanne Schmeidl

Conference Papers

Krzywicki A; Heap B; Bain M; Wobcke W; Schmeidl S, 2018, 'Using word embeddings with linear models for short text classification', in Mitrovic T; Xue B; Li X (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Cham, Victoria University of Wellington, New Zealand, pp. 819 - 827, presented at AI 2018 - The 31st Australasian Joint Conference on Artificial Intelligence, Victoria University of Wellington, New Zealand, 11 December 2018 - 14 December 2018, http://dx.doi.org/10.1007/978-3-030-03991-2_74

Krzywicki A; Wobcke W; Bain M; Schmeidl S; Heap B, 2018, 'A knowledge acquisition method for event extraction and coding based on deep patterns', in Yoshida K; Lee M (ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Nanjing, China, pp. 16 - 31, presented at Pacific Rim Knowledge Acquisition Workshop, Nanjing, China, 27 August 2018 - 28 August 2018, http://dx.doi.org/10.1007/978-3-319-97289-3_2

Heap B; Krzywicki A; Schmeidl S; Wobcke W; Bain M, 2017, 'A joint human/machine process for coding events and conflict drivers', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Singapore, pp. 639 - 654, presented at 13th International Conference, ADMA 2017, Singapore, 05 November 2017 - 06 November 2017, http://dx.doi.org/10.1007/978-3-319-69179-4_45

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