AMICUS: Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts

Proceedings of the First International AMICUS Workshop on Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts

Satellite event of the Supporting the Digital Humanities Conference (SDH-2010)
October 21, 2010, Vienna, Austria

Edited by Sándor Darányi and Piroska Lendvai

 
Papers read
 
9-19 Pierre Maranda (Départment d'Anthropologie, Université Laval, Québec, Canada) Morphology and Morphogenesis of Folktales and Myths pdf
20-28 Martha van den Hoven, Antal van den Bosch, and Kalliopi Zervanou (Tilburg center for Cognition and Communication, Tilburg University, The Netherlands) Beyond Reported History: Strikes That Never Happened pdf
pres
29-35 Sándor Darányi (Swedish School of Library and Information Science, University of Borås, Borås, Sweden) Examples of Formulaity in Narratives and Scientific Communication pdf
pres
36-41 Anita de Waard (Elsevier Labs, Burlington, VT, USA, and Utrecht University, Utrecht, The Netherlands) The Story of Science: A Syntagmatic/Paradigmatic Analysis of Scientific Text pdf
42-51 Sophia Ananiadou and Paul Thompson (National Centre for Text Mining, University of Manchester, Manchester, UK), and Raheel Nawaz (School of Computer Science, University of Manchester, Manchester, UK) Improving Search through Event-based Biomedical Text Mining pdf
52-59 Pablo Gervás (Universidad Complutense de Madrid Corpus Annotation for Narrative Generation Research: A Wish List pdf
pres
60-67 Thierry Declerck and Antonia Scheidel (DFKI GmbH, Language Technology Lab, Saarbrücken, Germany) An Information Extraction Approach to the Semantic Annotation of Folktales pdf
68-74 Scott Malec (Carnegie Mellon University, Pittsburgh, PA, USA) AutoPropp: Toward the Automatic Markup, Classification, and Annotation of Russian Magic Tales pdf
pres
75 Anette Frank and Nils Reiter (Department of Computational Linguistics, University of Heidelberg, Heidelberg, Germany) Harvesting Event Chains in Ritual Descriptions Using Frame Semantics pdf
pres
76-84 K. Faith Lawrence (Royal Irish Academy), Michael O. Jewell (Goldsmiths College, University of London), and Paul Rissen (British Broadcasting Corporation) OntoMedia: Telling Stories to Your Computer pdf
pres

85-88 László Z. Karvalics (Department of Library and Human Information Science, University of Szeged, Szeged, Hungary) Organic Kinship or Incidental Analogy? Similar Meaning Clusters in and Correspondances Between Folklore Texts and Pieces of Poetry pdf
89-92 Piroska Lendvai (Hungarian Academy of Sciences, Research Institute for Linguistics, Budapest, Hungary, and Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands) Granularity Perspectives in Modeling Humanities Concepts pdf
 
Posters exhibited
 
95-98 Antonia Scheidel and Thierry Declerck (DFKI GmbH, Language Technology Lab, Saarbrücken, Germany) APftML - Augmented Proppian fairy tale Markup Language pdf
poster
99-102 Mark A. Finlayson (Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA) Learning Narrative Morphologies from Annotated Folktales pdf
poster
103-107 Raheel Nawaz (School of Computer Science, University of Manchester, Manchester, UK), Sophia Ananiadou and Paul Thompson (National Centre for Text Mining, University of Manchester, Manchester, UK) Event Interpretation: A Step Towards Event-Centred Text Mining pdf
108-111 Anna Rafaeva (Moscow State University, Moscow, Russia) Motives and Characters in Folklore Indices and Russian Folktales pdf
112-115 Miklós Szöts (Applied Logic Laboratory, Budapest, Hungary), Sándor Darányi (Swedish School of Library and Information Science, University of Borås, Borås, Sweden), Zoltán Alexin, Veronika Vincze, and Attila Almási (Institute of Informatics, University of Szeged, Szeged, Hungary) Morphology and Morphogenesis of Folktales and Myths pdf
 
Complete Proceedings (PDF)

Paper version published by University of Szeged, Faculty of Arts, Department of Library and Human Information Science Szeged, Hungary

ISBN 978-963-306-069-8

Publication design: Dániel Mariánovich
AMICUS logo: Mihály Minkó

Antal.vdnBosch@uvt.nl | Last update: