Embodying Pre-Trained Word Embeddings Through Robot Actions

17 April 2021

Papers citing "Embodying Pre-Trained Word Embeddings Through Robot Actions"

9 / 9 papers shown

Title
Word2vec to behavior: morphology facilitates the grounding of language in machines David Matthews Sam Kriegman C. Cappelle Josh Bongard LM&Ro 41 6 0 03 Aug 2019
Language2Pose: Natural Language Grounded Pose Forecasting Chaitanya Ahuja Louis-Philippe Morency 69 273 0 02 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,729 0 11 Oct 2018
Multimodal Grounding for Language Processing Lisa Beinborn Teresa Botschen Iryna Gurevych 41 33 0 17 Jun 2018
Motion Switching with Sensory and Instruction Signals by designing Dynamical Systems using Deep Neural Network Kanata Suzuki Hiroki Mori T. Ogata 29 20 0 14 Dec 2017
Text2Action: Generative Adversarial Synthesis from Language to Action Hyemin Ahn Timothy Ha Yunho Choi Hwiyeon Yoo Songhwai Oh GAN 48 143 0 15 Oct 2017
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm Bjarke Felbo A. Mislove Anders Søgaard Iyad Rahwan Sune Lehmann 84 743 0 01 Aug 2017
Exploiting Deep Semantics and Compositionality of Natural Language for Human-Robot-Interaction Manfred Eppe Sean Trott J. Feldman 20 35 0 22 Apr 2016
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 369 33,520 0 16 Oct 2013