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Documents authored by Finlayson, Mark A.


Document
Complete Volume
OASIcs, Volume 53, CMN'16, Complete Volume

Authors: Ben Miller, Antonio Lieto, Rémi Ronfard, Stephen G. Ware, and Mark A. Finlayson

Published in: OASIcs, Volume 53, 7th Workshop on Computational Models of Narrative (CMN 2016)


Abstract
OASIcs, Volume 53, CMN'16, Complete Volume

Cite as

7th Workshop on Computational Models of Narrative (CMN 2016). Open Access Series in Informatics (OASIcs), Volume 53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@Proceedings{miller_et_al:OASIcs.CMN.2016,
  title =	{{OASIcs, Volume 53, CMN'16, Complete Volume}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Miller, Ben and Lieto, Antonio and Ronfard, R\'{e}mi and Ware, Stephen G. and Finlayson, Mark A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2016},
  URN =		{urn:nbn:de:0030-drops-67545},
  doi =		{10.4230/OASIcs.CMN.2016},
  annote =	{Keywords: Knowledge Representation Formalisms and Methods, Artificial Intelligence, General/Cognitive simulation, Natural Language Processing, Simulation and Modeling, Problem Solving, Control Methods, and Search, Distributed Artificial Intelligence, Psychology, Literature}
}
Document
Front Matter
Frontmatter, Table of Contents, Preface, List of Authors

Authors: Ben Miller, Antonio Lieto, Rémi Ronfard, Stephen G. Ware, and Mark A. Finlayson

Published in: OASIcs, Volume 53, 7th Workshop on Computational Models of Narrative (CMN 2016)


Abstract
Frontmatter, Table of Contents, Preface, List of Authors

Cite as

7th Workshop on Computational Models of Narrative (CMN 2016). Open Access Series in Informatics (OASIcs), Volume 53, pp. 0:i-0:x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@InProceedings{miller_et_al:OASIcs.CMN.2016.0,
  author =	{Miller, Ben and Lieto, Antonio and Ronfard, R\'{e}mi and Ware, Stephen G. and Finlayson, Mark A.},
  title =	{{Frontmatter, Table of Contents, Preface, List of Authors}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  pages =	{0:i--0:x},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Miller, Ben and Lieto, Antonio and Ronfard, R\'{e}mi and Ware, Stephen G. and Finlayson, Mark A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2016.0},
  URN =		{urn:nbn:de:0030-drops-67015},
  doi =		{10.4230/OASIcs.CMN.2016.0},
  annote =	{Keywords: Frontmatter, Table of Contents, Preface, List of Authors}
}
Document
Comparing Extant Story Classifiers: Results & New Directions

Authors: Joshua D. Eisenberg, W. Victor H. Yarlott, and Mark A. Finlayson

Published in: OASIcs, Volume 53, 7th Workshop on Computational Models of Narrative (CMN 2016)


Abstract
Having access to a large set of stories is a necessary first step for robust and wide-ranging computational narrative modeling; happily, language data - including stories - are increasingly available in electronic form. Unhappily, the process of automatically separating stories from other forms of written discourse is not straightforward, and has resulted in a data collection bottleneck. Therefore researchers have sought to develop reliable, robust automatic algorithms for identifying story text mixed with other non-story text. In this paper we report on the reimplementation and experimental comparison of the two approaches to this task: Gordon's unigram classifier, and Corman's semantic triplet classifier. We cross-analyze their performance on both Gordon's and Corman's corpora, and discuss similarities, differences, and gaps in the performance of these classifiers, and point the way forward to improving their approaches.

Cite as

Joshua D. Eisenberg, W. Victor H. Yarlott, and Mark A. Finlayson. Comparing Extant Story Classifiers: Results & New Directions. In 7th Workshop on Computational Models of Narrative (CMN 2016). Open Access Series in Informatics (OASIcs), Volume 53, pp. 6:1-6:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@InProceedings{eisenberg_et_al:OASIcs.CMN.2016.6,
  author =	{Eisenberg, Joshua D. and Yarlott, W. Victor H. and Finlayson, Mark A.},
  title =	{{Comparing Extant Story Classifiers: Results \& New Directions}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  pages =	{6:1--6:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Miller, Ben and Lieto, Antonio and Ronfard, R\'{e}mi and Ware, Stephen G. and Finlayson, Mark A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2016.6},
  URN =		{urn:nbn:de:0030-drops-67079},
  doi =		{10.4230/OASIcs.CMN.2016.6},
  annote =	{Keywords: Story Detection, Machine Learning, Natural Language Processing, Perceptron Learning}
}
Document
Learning a Better Motif Index: Toward Automated Motif Extraction

Authors: W. Victor H. Yarlott and Mark A. Finlayson

Published in: OASIcs, Volume 53, 7th Workshop on Computational Models of Narrative (CMN 2016)


Abstract
Motifs are distinctive recurring elements found in folklore, and are used by folklorists to categorize and find tales across cultures and track the genetic relationships of tales over time. Motifs have significance beyond folklore as communicative devices found in news, literature, press releases, and propaganda that concisely imply a large constellation of culturally-relevant information. Until now, folklorists have only extracted motifs from narratives manually, and the conceptual structure of motifs has not been formally laid out. In this short paper we propose that it is possible to automate the extraction of both existing and new motifs from narratives using supervised learning techniques and thereby possible to learn a computational model of how folklorists determine motifs. Automatic extraction would enable the construction of a truly comprehensive motif index, which does not yet exist, as well as the automatic detection of motifs in cultural materials, opening up a new world of narrative information for analysis by anyone interested in narrative and culture. We outline an experimental design, and report on our efforts to produce a structured form of Thompson's motif index, as well as a development annotation of motifs in a small collection of Russian folklore. We propose several initial computational, supervised approaches, and describe several possible metrics of success. We describe lessons learned and difficulties encountered so far, and outline our plan going forward.

Cite as

W. Victor H. Yarlott and Mark A. Finlayson. Learning a Better Motif Index: Toward Automated Motif Extraction. In 7th Workshop on Computational Models of Narrative (CMN 2016). Open Access Series in Informatics (OASIcs), Volume 53, pp. 7:1-7:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@InProceedings{yarlott_et_al:OASIcs.CMN.2016.7,
  author =	{Yarlott, W. Victor H. and Finlayson, Mark A.},
  title =	{{Learning a Better Motif Index: Toward Automated Motif Extraction}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  pages =	{7:1--7:10},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Miller, Ben and Lieto, Antonio and Ronfard, R\'{e}mi and Ware, Stephen G. and Finlayson, Mark A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2016.7},
  URN =		{urn:nbn:de:0030-drops-67088},
  doi =		{10.4230/OASIcs.CMN.2016.7},
  annote =	{Keywords: Text analysis, automated feature extraction, folklore, narrative, Russian folktales}
}
Document
ProppML: A Complete Annotation Scheme for Proppian Morphologies

Authors: W. Victor H. Yarlott and Mark A. Finlayson

Published in: OASIcs, Volume 53, 7th Workshop on Computational Models of Narrative (CMN 2016)


Abstract
We give a preliminary description of ProppML, an annotation scheme designed to capture all the components of a Proppian-style morphological analysis of narratives. This work represents the first fully complete annotation scheme for Proppian morphologies, going beyond previous annotation schemes such as PftML, ProppOnto, Bod et al., and our own prior work. Using ProppML we have annotated Propp's morphology on fifteen tales (18,862 words) drawn from his original corpus of Russian folktales. This is a significantly larger set of data than annotated in previous studies. This pilot corpus was constructed via double annotation by two highly trained annotators, whose annotations were then combined after discussion with a third highly trained adjudicator, resulting in gold standard data which is appropriate for training machine learning algorithms. Agreement measures calculated between both annotators show very good agreement (F_1>0.75, kappa>0.9 for functions; F_1>0.6 for moves; and F_1>0.8, kappa>0.6 for dramatis personae). This is the first robust demonstration of reliable annotation of Propp's system.

Cite as

W. Victor H. Yarlott and Mark A. Finlayson. ProppML: A Complete Annotation Scheme for Proppian Morphologies. In 7th Workshop on Computational Models of Narrative (CMN 2016). Open Access Series in Informatics (OASIcs), Volume 53, pp. 8:1-8:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)


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@InProceedings{yarlott_et_al:OASIcs.CMN.2016.8,
  author =	{Yarlott, W. Victor H. and Finlayson, Mark A.},
  title =	{{ProppML: A Complete Annotation Scheme for Proppian Morphologies}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  pages =	{8:1--8:19},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Miller, Ben and Lieto, Antonio and Ronfard, R\'{e}mi and Ware, Stephen G. and Finlayson, Mark A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2016.8},
  URN =		{urn:nbn:de:0030-drops-67094},
  doi =		{10.4230/OASIcs.CMN.2016.8},
  annote =	{Keywords: Narrative structure, Computational folkloristics, Russian folktales}
}
Document
Complete Volume
OASIcs, Volume 45, CMN'15, Complete Volume

Authors: Mark A. Finlayson, Ben Miller, Antonio Lieto, and Remi Ronfard

Published in: OASIcs, Volume 45, 6th Workshop on Computational Models of Narrative (CMN 2015)


Abstract
OASIcs, Volume 45, CMN'15, Complete Volume

Cite as

6th Workshop on Computational Models of Narrative (CMN 2015). Open Access Series in Informatics (OASIcs), Volume 45, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)


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@Proceedings{finlayson_et_al:OASIcs.CMN.2015,
  title =	{{OASIcs, Volume 45, CMN'15, Complete Volume}},
  booktitle =	{6th Workshop on Computational Models of Narrative (CMN 2015)},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-93-4},
  ISSN =	{2190-6807},
  year =	{2015},
  volume =	{45},
  editor =	{Finlayson, Mark A. and Miller, Ben and Lieto, Antonio and Ronfard, Remi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2015},
  URN =		{urn:nbn:de:0030-drops-53606},
  doi =		{10.4230/OASIcs.CMN.2015},
  annote =	{Keywords: Knowledge Representation Formalisms and Methods, Artificial Intelligence, General/Cognitive simulation, Natural Language Processing, Simulation and Modeling, Problem Solving, Control Methods, and Search, Distributed Artificial Intelligence, Psychology, Literature}
}
Document
Front Matter
Frontmatter, Table of Contents, Preface, List of Authors

Authors: Mark A. Finlayson, Ben Miller, Antonio Lieto, and Remi Ronfard

Published in: OASIcs, Volume 45, 6th Workshop on Computational Models of Narrative (CMN 2015)


Abstract
Welcome to the Sixth Workshop on Computational Models of Narrative. This year finds us co-located with the Third Annual Conference of Advanced in Cognitive Systems (CogSys 2015). This association made it appropriate to have a special focus on the intersection of cognitive systems and narrative. This intersection is rich and broad, covering the gamut from psychological and cognitive impact of narratives to our ability to model narrative responses computationally. Papers contributed to this volume tackle questions of narrative analysis in the domains of medical information and journalism, and of various story generation systems and frameworks. They look to extend prior paradigms, in one case connecting event segmentation theory to the computational modeling of narrative, and in another, proposing a model for synthesizing temporal, ontological, and psychological aspects of story. And they report on experiments such as the application of syntactic and semantic feature detection to the exploration of higher-level storytelling tropes such as romantic love and animacy.

Cite as

6th Workshop on Computational Models of Narrative (CMN 2015). Open Access Series in Informatics (OASIcs), Volume 45, pp. i-x, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)


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@InProceedings{finlayson_et_al:OASIcs.CMN.2015.i,
  author =	{Finlayson, Mark A. and Miller, Ben and Lieto, Antonio and Ronfard, Remi},
  title =	{{Frontmatter, Table of Contents, Preface, List of Authors}},
  booktitle =	{6th Workshop on Computational Models of Narrative (CMN 2015)},
  pages =	{i--x},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-93-4},
  ISSN =	{2190-6807},
  year =	{2015},
  volume =	{45},
  editor =	{Finlayson, Mark A. and Miller, Ben and Lieto, Antonio and Ronfard, Remi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2015.i},
  URN =		{urn:nbn:de:0030-drops-52759},
  doi =		{10.4230/OASIcs.CMN.2015.i},
  annote =	{Keywords: Frontmatter, Table of Contents, Preface, List of Authors}
}
Document
Complete Volume
OASIcs, Volume 41, CMN'14, Complete Volume

Authors: Mark A. Finlayson, Jan Christoph Meister, and Emile G. Bruneau

Published in: OASIcs, Volume 41, 2014 Workshop on Computational Models of Narrative


Abstract
OASIcs, Volume 41, CMN'14, Complete Volume

Cite as

2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


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@Proceedings{finlayson_et_al:OASIcs.CMN.2014,
  title =	{{OASIcs, Volume 41, CMN'14, Complete Volume}},
  booktitle =	{2014 Workshop on Computational Models of Narrative},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-71-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{41},
  editor =	{Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014},
  URN =		{urn:nbn:de:0030-drops-46771},
  doi =		{10.4230/OASIcs.CMN.2014},
  annote =	{Keywords: Ordinary Differential Equations, Models and Principles: General, Systems and Information Theory, User/Machine Systems / Human information processing, Models and Principles: Miscellaneous, Content Analysis and Indexing, Information Search and Retrieval, Multimedia Information Systems,}
}
Document
Front Matter
Frontmatter, Table of Contents, Preface, Workshop Organization

Authors: Mark A. Finlayson, Jan Christoph Meister, and Emile G. Bruneau

Published in: OASIcs, Volume 41, 2014 Workshop on Computational Models of Narrative


Abstract
Frontmatter, Table of Contents, Preface, Workshop Organization

Cite as

2014 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 41, pp. i-xiv, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)


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@InProceedings{finlayson_et_al:OASIcs.CMN.2014.i,
  author =	{Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
  title =	{{Frontmatter, Table of Contents, Preface, Workshop Organization}},
  booktitle =	{2014 Workshop on Computational Models of Narrative},
  pages =	{i--xiv},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-71-2},
  ISSN =	{2190-6807},
  year =	{2014},
  volume =	{41},
  editor =	{Finlayson, Mark A. and Meister, Jan Christoph and Bruneau, Emile G.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2014.i},
  URN =		{urn:nbn:de:0030-drops-46389},
  doi =		{10.4230/OASIcs.CMN.2014.i},
  annote =	{Keywords: Frontmatter, Table of Contents, Preface, Workshop Organization}
}
Document
Complete Volume
OASIcs, Volume 32, CMN'13, Complete Volume

Authors: Mark A. Finlayson, Bernhard Fisseni, Benedikt Löwe, and Jan Christoph Meister

Published in: OASIcs, Volume 32, 2013 Workshop on Computational Models of Narrative


Abstract
OASIcs, Volume 32, CMN'13, Complete Volume

Cite as

2013 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 32, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)


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@Proceedings{finlayson_et_al:OASIcs.CMN.2013,
  title =	{{OASIcs, Volume 32, CMN'13, Complete Volume}},
  booktitle =	{2013 Workshop on Computational Models of Narrative},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-57-6},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{32},
  editor =	{Finlayson, Mark A. and Fisseni, Bernhard and L\"{o}we, Benedikt and Meister, Jan Christoph},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2013},
  URN =		{urn:nbn:de:0030-drops-41727},
  doi =		{10.4230/OASIcs.CMN.2013},
  annote =	{Keywords: Probability and statistics, Systems and Information Theory, User/Machine Systems, Models and Principles: Miscellaneous, Database applications, Content Analysis and Indexing, Information storage, Digital Libraries, Communications Applications, Multimedia Information Systems, User Interfaces}
}
Document
Front Matter
Frontmatter, Table of Contents, Preface, Workshop Organization

Authors: Mark A. Finlayson, Bernhard Fisseni, Benedikt Löwe, and Jan Christoph Meister

Published in: OASIcs, Volume 32, 2013 Workshop on Computational Models of Narrative


Abstract
Frontmatter, Table of Contents, Preface, Workshop Organization

Cite as

2013 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 32, pp. i-xv, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)


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@InProceedings{finlayson_et_al:OASIcs.CMN.2013.i,
  author =	{Finlayson, Mark A. and Fisseni, Bernhard and L\"{o}we, Benedikt and Meister, Jan Christoph},
  title =	{{Frontmatter, Table of Contents, Preface, Workshop Organization}},
  booktitle =	{2013 Workshop on Computational Models of Narrative},
  pages =	{i--xv},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-57-6},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{32},
  editor =	{Finlayson, Mark A. and Fisseni, Bernhard and L\"{o}we, Benedikt and Meister, Jan Christoph},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2013.i},
  URN =		{urn:nbn:de:0030-drops-41357},
  doi =		{10.4230/OASIcs.CMN.2013.i},
  annote =	{Keywords: Frontmatter, Table of Contents, Preface, Workshop Organization}
}
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