Deep full relation extraction

Relation Extraction on the linguistic level is the task to decide whether two entities (as recognized by a named entity recognizer (link zu NER) in some particular text are in a particular relation, or not. This can be a person is-boss-of company, or a gene induces disease. Our algorithms use powerful language-independed components to pre-analyze typical patterns in a large background corpus. This allows them to learn to recognize relations from relatively few training examples with a high quality. We offer pre-trained relation types for a large variety of life sciences oriented relation types, such as:

  • Protein up/down regulates Gene
  • several ADMET related entity and corresponding relation types
  • drug induces disease
  • and many others
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