Article | Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland | Unsupervised Inference of Object Affordance from Text Corpora Linköping University Electronic Press Conference Proceedings
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Title:
Unsupervised Inference of Object Affordance from Text Corpora
Author:
Michele Persiani: Department of Computing Science, Umeå University, Umeå, Sweden Thomas Hellström: Department of Computing Science, Umeå University, Umeå, Sweden
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Year:
2019
Conference:
Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland
Issue:
167
Article no.:
012
Pages:
115--120
No. of pages:
5
Publication type:
Abstract and Fulltext
Published:
2019-10-02
ISBN:
978-91-7929-995-8
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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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.

Keywords: Affordance Natural Language Processing Intention Recognition Robotics Conditional Variational Autoencoder

Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Michele Persiani, Thomas Hellström
Title:
Unsupervised Inference of Object Affordance from Text Corpora
References:
No references available

Proceedings of the 22nd Nordic Conference on Computational Linguistics (NoDaLiDa), September 30 - October 2, Turku, Finland

Author:
Michele Persiani, Thomas Hellström
Title:
Unsupervised Inference of Object Affordance from Text Corpora
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Last updated: 2019-11-06