2 Search Results for "Besold, Tarek R."

Document
DOI: 10.4230/DagRep.9.4.87
Computational Creativity Meets Digital Literary Studies (Dagstuhl Seminar 19172)

Authors: Tarek Richard Besold, Pablo Gervás, Evelyn Gius, and Sarah Schulz

Published in: Dagstuhl Reports, Volume 9, Issue 4 (2019)

Abstract
This report documents the outcomes of Dagstuhl Seminar 19172 "Computational Creativity Meets Digital Literary Studies", held from April 22 to April 25, 2019. Computational Creativity and Digital Humanities are emerging, interdisciplinary fields still experiencing significant growth and development in terms of community, research questions, methods, and approaches. Computational Storytelling as a prominent subfield within Computational Creativity that has mostly focused on planning stories - thus simulating a logically coherent plot - could fruitfully extend its horizon to narrative concepts like narrative style, chronology of narratives, focalization and perspective. These narratological concepts have been investigated by literary scholars for a long time. Yet, operationalization of these concepts is required when used as the basis for computational modelling. This in turn sharpens the definitions of theoretical considerations and can feed back into theoretical discussions in the literary studies. Moreover, there are obvious connection points between Computational Creativity and Natural Language Processing on the one hand, and between Natural Language Processing and Digital Literary Studies on the other hand. However, these connections currently are not transitive. The goal of the seminar was to establish international links between all three disciplines and among involved researchers through presentations by participants and extensive group-work sessions.
Cite as

Tarek Richard Besold, Pablo Gervás, Evelyn Gius, and Sarah Schulz. Computational Creativity Meets Digital Literary Studies (Dagstuhl Seminar 19172). In Dagstuhl Reports, Volume 9, Issue 4, pp. 87-106, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

Copy BibTex To Clipboard

@Article{besold_et_al:DagRep.9.4.87,
  author =	{Besold, Tarek Richard and Gerv\'{a}s, Pablo and Gius, Evelyn and Schulz, Sarah},
  title =	{{Computational Creativity Meets Digital Literary Studies (Dagstuhl Seminar 19172)}},
  pages =	{87--106},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{4},
  editor =	{Besold, Tarek Richard and Gerv\'{a}s, Pablo and Gius, Evelyn and Schulz, Sarah},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.9.4.87},
  URN =		{urn:nbn:de:0030-drops-113054},
  doi =		{10.4230/DagRep.9.4.87},
  annote =	{Keywords: computational creativity, computational narrativity, digital humanities, digital literary studies, storytellin}
}
Document
DOI: 10.4230/DagRep.7.5.56
Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192)

Authors: Tarek R. Besold, Artur d'Avila Garcez, and Luis C. Lamb

Published in: Dagstuhl Reports, Volume 7, Issue 5 (2018)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 17192 "Human-Like Neural-Symbolic Computing", held from May 7th to 12th, 2017. The underlying idea of Human-Like Computing is to incorporate into Computer Science aspects of how humans learn, reason and compute. Whilst recognising the relevant scientific trends in big data and deep learning, capable of achieving state-of-the-art performance in speech recognition and computer vision tasks, limited progress has been made towards understanding the principles underlying language and vision understanding. Under the assumption that neural-symbolic computing - the study of logic and connectionism as well statistical approaches - can offer new insight into this problem, the seminar brought together computer scientists, but also specialists on artificial intelligence, cognitive science, machine learning, knowledge representation and reasoning, computer vision, neural computation, and natural language processing. The seminar consisted of contributed and invited talks, breakout and joint group discussion sessions, and a hackathon. It was built upon previous seminars and workshops on the integration of computational learning and symbolic reasoning, such as the Neural-Symbolic Learning and Reasoning (NeSy) workshop series, and the previous Dagstuhl Seminar 14381: Neural-Symbolic Learning and Reasoning.
Cite as

Tarek R. Besold, Artur d'Avila Garcez, and Luis C. Lamb. Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192). In Dagstuhl Reports, Volume 7, Issue 5, pp. 56-83, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

Copy BibTex To Clipboard

@Article{besold_et_al:DagRep.7.5.56,
  author =	{Besold, Tarek R. and d'Avila Garcez, Artur and Lamb, Luis C.},
  title =	{{Human-Like Neural-Symbolic Computing (Dagstuhl Seminar 17192)}},
  pages =	{56--83},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{7},
  number =	{5},
  editor =	{Besold, Tarek R. and d'Avila Garcez, Artur and Lamb, Luis C.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.7.5.56},
  URN =		{urn:nbn:de:0030-drops-82803},
  doi =		{10.4230/DagRep.7.5.56},
  annote =	{Keywords: Deep Learning, Human-like computing, Multimodal learning, Natural language processing, Neural-symbolic integration}
}
  • Refine by Author
  • 1 Besold, Tarek R.
  • 1 Besold, Tarek Richard
  • 1 Gervás, Pablo
  • 1 Gius, Evelyn
  • 1 Lamb, Luis C.
  • Show More...

  • Refine by Classification

  • Refine by Keyword
  • 1 Deep Learning
  • 1 Human-like computing
  • 1 Multimodal learning
  • 1 Natural language processing
  • 1 Neural-symbolic integration
  • Show More...

  • Refine by Type
  • 2 document

  • Refine by Publication Year
  • 1 2017
  • 1 2019

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact