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What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning

Jae Hee Lee
Matthias Kerzel
Kyra Ahrens
C. Weber
S. Wermter
ArXiv (abs)PDFHTML

Papers citing "What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning"

2 / 2 papers shown
Title
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
Björn Plüster
Jakob Ambsdorf
Lukas Braach
Jae Hee Lee
S. Wermter
83
6
0
08 Dec 2022
Neuro-Symbolic Spatio-Temporal Reasoning
Neuro-Symbolic Spatio-Temporal Reasoning
Pascal Hitzler
Michael Sioutis
Md Kamruzzaman Sarker
Marjan Alirezaie
Aaron Eberhart
Stefan Wermter
NAI
89
0
0
28 Nov 2022

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