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        <title>Grounding Language by Continuous Observation of Instruction Following</title>
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    <abstract>Grounded semantics is typically learnt from utterance-level meaning representations (e.g., successful database retrievals, denoted objects in images, moves in a game). We explore learning word and utterance meanings by continuous observation of the actions of an instruction follower (IF). While an instruction giver (IG) provided a verbal description of a configuration of objects, IF recreated it using a GUI. Aligning these GUI actions to sub-utterance chunks allows a simple maximum entropy model to associate them as chunk meaning better than just providing it with the utterance-final configuration. This shows that semantics useful for incremental (word-by-word) application, as required in natural dialogue, might also be better acquired from incremental settings.</abstract>
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%0 Conference Proceedings
%T Grounding Language by Continuous Observation of Instruction Following
%A Han, Ting
%A Schlangen, David
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 apr
%I Association for Computational Linguistics
%C Valencia, Spain
%F han-schlangen-2017-grounding
%X Grounded semantics is typically learnt from utterance-level meaning representations (e.g., successful database retrievals, denoted objects in images, moves in a game). We explore learning word and utterance meanings by continuous observation of the actions of an instruction follower (IF). While an instruction giver (IG) provided a verbal description of a configuration of objects, IF recreated it using a GUI. Aligning these GUI actions to sub-utterance chunks allows a simple maximum entropy model to associate them as chunk meaning better than just providing it with the utterance-final configuration. This shows that semantics useful for incremental (word-by-word) application, as required in natural dialogue, might also be better acquired from incremental settings.
%U https://aclanthology.org/E17-2079
%P 491-496

Markdown (Informal)

[Grounding Language by Continuous Observation of Instruction Following](https://aclanthology.org/E17-2079) (Han & Schlangen, EACL 2017)

• Grounding Language by Continuous Observation of Instruction Following (Han & Schlangen, EACL 2017)

ACL

• Ting Han and David Schlangen. 2017. Grounding Language by Continuous Observation of Instruction Following. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 491–496, Valencia, Spain. Association for Computational Linguistics.