The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Learning Structured Embeddings of Knowledge Bases
Open accessAbstract
Many Knowledge Bases (KBs) are now readily available and encompass colossal quantities of information thanks to either a long-term funding effort (e.g. WordNet, OpenCyc) or a collaborative process (e.g. Freebase, DBpedia). However, each of them is based on a different rigorous symbolic framework which makes it hard to use their data in other systems. It is unfortunate because such rich structured knowledge might lead to a huge leap forward in many other areas of AI like nat- ural language processing (word-sense disambiguation, natural language understanding, ...), vision (scene classification, image semantic annotation, ...) or collaborative filtering. In this paper, we present a learning process based on an innovative neural network architecture designed to embed any of these symbolic representations into a more flexible continuous vector space in which the original knowledge is kept and enhanced. These learnt embeddings would allow data from any KB to be easily used in recent machine learning meth- ods for prediction and information retrieval. We illustrate our method on WordNet and Freebase and also present a way to adapt it to knowledge extraction from raw text.
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Cites
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Cited by
(2013) · Cited by 5,726
Knowledge Graph Embedding by Translating on Hyperplanes
Wang, Z., Zhang, J., Feng, J., & Chen, Z. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v28i1.8870 · Cited by 3,915
Learning Entity and Relation Embeddings for Knowledge Graph Completion
Lin, Y., Liu, Z., Sun, M., Liu, Y., & Zhu, X. (2015) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v29i1.9491 · Cited by 3,749
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
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Knowledge Graph Embedding: A Survey of Approaches and Applications
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Metadata
- Authors
- Bordes, A., Weston, J., Collobert, R., & Bengio, Y.
- Venue
- Proceedings of the AAAI Conference on Artificial Intelligence
- Published
- 2011-08-04
- Volume
- 25
- Issue
- 1
- Pages
- 301-306
- ISSN
- 2374-3468
- 2159-5399
- OpenAlex
- W2247119764
- Cited by
- 829
- References
- 5
- FWCI
- 16.56
- Type
- journal article
- Language
- en
- Open access
- green
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