umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Unsupervised Inference of Object Affordance from Text Corpora
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2019 (English)In: Proceedings of the 22nd Nordic Conference on Computational Linguistics / [ed] Mareike Hartmann, Barbara Plank, Association for Computational Linguistics, 2019, article id W19-6112Conference paper, Published paper (Refereed)
Abstract [en]

Affordances denote actions that can be performed in the presence of different objects, or possibility of action in an environment. In robotic systems, affordances and actions may suffer from poor semantic generalization capabilities due to the high amount of required hand-crafted specifications. To alleviate this issue, we propose a method to mine for object-action pairs in free text corpora, successively training and evaluating different prediction models of affordance based on word embeddings.

Place, publisher, year, edition, pages
Association for Computational Linguistics, 2019. article id W19-6112
Keywords [en]
Affordance, Natural Language Processing, Robotics, Intention Recognition, Conditional Variational Autoencoder
National Category
Robotics
Identifiers
URN: urn:nbn:se:umu:diva-163356OAI: oai:DiVA.org:umu-163356DiVA, id: diva2:1351658
Conference
22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19), September 30 – October 2, 2019, Turku, Finland
Available from: 2019-09-16 Created: 2019-09-16 Last updated: 2019-10-23Bibliographically approved

Open Access in DiVA

fulltext(294 kB)1 downloads
File information
File name FULLTEXT02.pdfFile size 294 kBChecksum SHA-512
e8eab4e7c036b0aed373ecff5a64aa23b9c87871f9d80a14154c54193af7fc06a0d98803d59446f92fd4465432eff070ef1b51578eb51772f5721a3c53a7755a
Type fulltextMimetype application/pdf

Other links

URL

Authority records BETA

Persiani, MicheleHellström, Thomas

Search in DiVA

By author/editor
Persiani, MicheleHellström, Thomas
By organisation
Department of Computing Science
Robotics

Search outside of DiVA

GoogleGoogle Scholar
Total: 27 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 62 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf