A machine learning tool for fishing entities
2.5K
entity-fishing performs general entity recognition and disambiguation against Wikidata in a raw text (including partially-annotated text segment), or at full document-level, e.g. PDF (with layout positioning and structure-aware annotations), search query disambiguation (in a few milli-seconds) and weighted term vector disambiguation.
entity-fishing supports 11 different languages.
See the repository https://github.com/kermitt2/entity-fishing and the documentation https://nerd.readthedocs.io
For running entity-fishing as container with this image, see the document https://nerd.readthedocs.io/en/latest/docker.html
Distributed under Apache 2.0 license, created, developed and is maintained by SCIENCE-MINER.
Content type
Image
Digest
sha256:4abc198b4…
Size
2 GB
Last updated
almost 2 years ago
docker pull grobid/entity-fishing:0.0.7-SNAPSHOT