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A Modular Neurosymbolic Approach for Visual Graph Question Answering
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- Eiter, Thomas (författare)
- Vienna University of Technology (TU Wien), Vienna, Austria
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- Ruiz, Nelson Higuera (författare)
- Vienna University of Technology (TU Wien), Vienna, Austria
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- Oetsch, Johannes (författare)
- Vienna University of Technology (TU Wien), Vienna, Austria
- (creator_code:org_t)
- CEUR-WS, 2023
- 2023
- Engelska.
- Ingår i: Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning La Certosa di Pontignano, Siena, Italy, July 3-5, 2023. - : CEUR-WS. ; , s. 139-149
- Konferensbidrag (refereegranskat)
Abstract
Ämnesord
Stäng
- Images containing graph-based structures are a ubiquitous and popular form of data representation that, to the best of our knowledge, have not yet been considered in the domain of Visual Question Answering (VQA). We use CLEGR, a graph question answering dataset with a generator that synthetically produces vertex-labelled graphs that are inspired by metro networks. Structured information about stations and lines is provided, and the task is to answer natural language questions concerning such graphs. While symbolic methods suffice to solve this dataset, we consider the more challenging problem of taking images of the graphs instead of their symbolic representations as input. Our solution takes the form of a modular neurosymbolic model that combines the use of optical graph recognition for graph parsing, a pretrained optical character recognition neural network for parsing node labels, and answer-set programming, a popular logic-based approach to declarative problem solving, for reasoning. The implementation of the model achieves an overall average accuracy of 73% on the dataset, providing further evidence of the potential of modular neurosymbolic systems in solving complex VQA tasks, in particular, the use and control of pretrained models in this architecture.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- answer-set programming
- neurosymbolic computation
- visual question answering
- Computation theory
- Graph theory
- Graphic methods
- Logic programming
- Natural language processing systems
- Text processing
- Answer set programming
- Data representations
- Graph-based
- Metro networks
- Modulars
- Question Answering
- Vertex-labeled graphs
- Visual Graph
- Optical character recognition
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- kon (ämneskategori)
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