Published August 18, 2021
| Version v1
Software
Open
QAmp
Description
Pre-trained models for complex knowledge graph question answering trained on LC-QuAD 1.0 http://lc-quad.sda.tech/lcquad1.0.html
+ fasttext embeddings for DBpedia relation and entity labels
Code: https://github.com/svakulenk0/KBQA/tree/master/api
Paper: https://arxiv.org/abs/1908.06917
Files
Files
(3.8 GB)
| Name | Size | Download all |
|---|---|---|
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md5:5b53ad48fcb0681fa6e91ffd409fd9ea
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9.7 MB | Download |
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md5:a6f1e36b4ac8affbc80b4c7062952195
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9.8 MB | Download |
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md5:1aea23ddbb0f146594364db269c59a47
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3.6 GB | Download |
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md5:108480ca0c93ed99db8c9056b371bc78
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15.0 MB | Download |
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md5:b0327597ff3025d5a630bc570217dd36
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128.4 MB | Download |
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md5:46c347d5016895475424cce3fabfbc95
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15.2 MB | Download |
Additional details
References
- Svitlana Vakulenko, Javier D. Fernandez, Axel Polleres, Maarten de Rijke and Michael Cochez. Message Passing for Complex Question Answering over Knowledge Graphs. CIKM. 2019