ReLiK Knowledge Extractor¶
ReLiK is a lightweight and fast model for Entity Linking and Relation Extraction. It is composed of two main components: a retriever and a reader. The retriever is responsible for retrieving relevant documents from a large collection, while the reader is responsible for extracting entities and relations from the retrieved documents.
In Zshot, we created a Knowledge Extractor to use ReLiK and extract relations directly, without having to specify any entities or relation names.
Bases: KnowledgeExtractor
Instantiate the KnowGL Knowledge Extractor
load_models()
¶
Load relik model
predict(docs, batch_size=None)
¶
Extract triples from docs
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
docs
|
Iterator[Doc]
|
Spacy Docs to process |
required |
batch_size
|
Optional[Union[int, None]]
|
Batch size for processing |
None
|
Returns:
| Type | Description |
|---|---|
List[List[Tuple[Span, RelationSpan, Span]]]
|
Triples (subject, relation, object) extracted for each document |