2017
ACL
ACL 2017
A Corpus of Natural Language for Visual Reasoning
Abstract
AbstractWe present a new visual reasoning language dataset, containing 92,244 pairs of examples of natural statements grounded in synthetic images with 3,962 unique sentences. We describe a method of crowdsourcing linguistically-diverse data, and present an analysis of our data. The data demonstrates a broad set of linguistic phenomena, requiring visual and set-theoretic reasoning. We experiment with various models, and show the data presents a strong challenge for future research.
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Interdisciplinary Bridge
- Artificial Intelligence and Computer Vision and Natural Language Processing
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Trend Setter
- Visual Question Answering
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Hot Topic Early Bird
- natural language
Authors
Topics
Artificial Intelligence > Core AI > Multimodal Learning
Computer Vision > Analysis > Scene Understanding
Natural Language Processing > Understanding > Semantic Analysis
Natural Language Processing > Applications > Question Answering
Natural Language Processing > Applications > Visual Question Answering
Deep Learning > Learning Types > Multimodal Learning
Computer Vision > Applications > Visual Question Answering