Visually Grounded Language Learning for Robot Navigation

Author:

Ünal Emre1,Can Ozan Arkan1,Yemez Yücel1

Affiliation:

1. Koç University, Istanbul, Turkey

Funder

Scientific and Technological Research Council of Turkey (TUBITAK)

Publisher

ACM Press

Reference31 articles.

1. Jacob Andreas and Dan Klein. 2015. Alignment-based compositional semantics for instruction following. arXiv preprint arXiv:1508.06491 (2015).

2. Yoav Artzi, Dipanjan Das, and Slav Petrov. 2014. Learning compact lexicons for CCG semantic parsing. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 1273--1283.

3. Yoav Artzi and Luke Zettlemoyer. 2013. Weakly supervised learning of semantic parsers for mapping instructions to actions. Transactions of the Association of Computational Linguistics , Vol. 1 (2013), 49--62.

4. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).

5. Benjamin Börschinger, Bevan K Jones, and Mark Johnson. 2011. Reducing grounded learning tasks to grammatical inference. In Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 1416--1425.

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