License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2015.82
URN: urn:nbn:de:0030-drops-52841
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2015/5284/
Karsdorp, Folgert ;
van der Meulen, Marten ;
Meder, Theo ;
van den Bosch, Antal
Animacy Detection in Stories
Abstract
This paper presents a linguistically uninformed computational model for animacy classification. The model makes use of word n-grams in combination with lower dimensional word embedding representations that are learned from a web-scale corpus. We compare the model to a number of linguistically informed models that use features such as dependency tags and show competitive results. We apply our animacy classifier to a large collection of Dutch folktales to obtain a list of all characters in the stories. We then draw a semantic map of all automatically extracted characters which provides a unique entrance point to the collection.
BibTeX - Entry
@InProceedings{karsdorp_et_al:OASIcs:2015:5284,
author = {Folgert Karsdorp and Marten van der Meulen and Theo Meder and Antal van den Bosch},
title = {{Animacy Detection in Stories}},
booktitle = {6th Workshop on Computational Models of Narrative (CMN 2015)},
pages = {82--97},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-939897-93-4},
ISSN = {2190-6807},
year = {2015},
volume = {45},
editor = {Mark A. Finlayson and Ben Miller and Antonio Lieto and Remi Ronfard},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2015/5284},
URN = {urn:nbn:de:0030-drops-52841},
doi = {10.4230/OASIcs.CMN.2015.82},
annote = {Keywords: animacy detection, word embeddings, folktales}
}
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Keywords: |
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animacy detection, word embeddings, folktales |
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Collection: |
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6th Workshop on Computational Models of Narrative (CMN 2015) |
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Issue Date: |
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2015 |
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Date of publication: |
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14.08.2015 |
