| 1. |
- Can, Ozan Arkan, et al.
(författare)
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Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
- 2019
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Ingår i: Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP). - : Association for Computational Linguistics. ; , s. 29-39
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Konferensbidrag (refereegranskat)abstract
- Human-robot interaction often occurs in the form of instructions given from a human to a robot. For a robot to successfully follow instructions, a common representation of the world and objects in it should be shared between humans and the robot so that the instructions can be grounded. Achieving this representation can be done via learning, where both the world representation and the language grounding are learned simultaneously. However, in robotics this can be a difficult task due to the cost and scarcity of data. In this paper, we tackle the problem by separately learning the world representation of the robot and the language grounding. While this approach can address the challenges in getting sufficient data, it may give rise to inconsistencies between both learned components. Therefore, we further propose Bayesian learning to resolve such inconsistencies between the natural language grounding and a robot’s world representation by exploiting spatio-relational information that is implicitly present in instructions given by a human. Moreover, we demonstrate the feasibility of our approach on a scenario involving a robotic arm in the physical world.
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| 2. |
- Nivre, Joakim, et al.
(författare)
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The CoNLL 2007 Shared Task on Dependency Parsing
- 2007
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Ingår i: Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007. - : Association for Computational Linguistics. ; , s. 915–932-
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in 2006, the shared task has been devoted to dependency parsing, this year with both a multilingual track and a domain adaptation track. In this paper, we define the tasks of the different tracks and describe how the data sets were created from existing treebanks for ten languages. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.
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| 3. |
- Nivre, Joakim, et al.
(författare)
-
The CoNLL 2007 Shared Task on Dependency Parsing
- 2007
-
Ingår i: Proceedings of the CoNLL Shared Task Session of EMNLP-CoNLL 2007. - : Association for Computational Linguistics. ; , s. 915-932
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Konferensbidrag (refereegranskat)
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