spaCyOpenTapioca

A spaCy wrapper of OpenTapioca for named entity linking on Wikidata.

Table of contents

• Installation
• How to use
• Local OpenTapioca
• Vizualization

Installation

pip install spacyopentapioca

or

git clone https://github.com/UB-Mannheim/spacyopentapioca
cd spacyopentapioca/
pip install .

How to use

After installation the OpenTapioca pipeline can be used without any other pipelines:

import spacy
nlp = spacy.blank("en")
nlp.add_pipe('opentapioca')
doc = nlp("Christian Drosten works in Germany.")
for span in doc.ents:
    print((span.text, span.kb_id_, span.label_, span._.description, span._.score))

('Christian Drosten', 'Q1079331', 'PERSON', 'German virologist and university teacher', 3.6533377082098895)
('Germany', 'Q183', 'LOC', 'sovereign state in Central Europe', 2.1099332471902863)

The types and aliases are also available:

for span in doc.ents:
    print((span._.types, span._.aliases[0:5]))

({'Q43229': False, 'Q618123': False, 'Q5': True, 'P2427': False, 'P1566': False, 'P496': True}, ['كريستيان دروستين', 'Крістіан Дростен', 'Christian Heinrich Maria Drosten', 'کریستین دروستن', '크리스티안 드로스텐'])
({'Q43229': True, 'Q618123': True, 'Q5': False, 'P2427': False, 'P1566': True, 'P496': False}, ['IJalimani', 'R. F. A.', 'Alemania', '도이칠란트', 'Germaniya'])

The Wikidata QIDs are attached to tokens:

for token in doc:
    print((token.text, token.ent_kb_id_))

('Christian', 'Q1079331')
('Drosten', 'Q1079331')
('works', '')
('in', '')
('Germany', 'Q183')
('.', '')

The raw response of the OpenTapioca API can be accessed in the doc- and span-objects:

raw_annotations1 = doc._.annotations
raw_annotations2 = [span._.annotations for span in doc.ents]

The partial metadata for the response returned by the OpenTapioca API is

doc._.metadata

All span-extensions are:

span._.annotations
span._.description
span._.aliases
span._.rank
span._.score
span._.types
span._.label
span._.extra_aliases
span._.nb_sitelinks
span._.nb_statements

Note that spaCyOpenTapioca does a tiny processing of entities appearing in doc.ents. All entities returned by OpenTapioca can be found in doc.spans['all_entities_opentapioca'].

Local OpenTapioca

If OpenTapioca is deployed locally, specify the URL of the new OpenTapioca API in the config:

import spacy
nlp = spacy.blank("en")
nlp.add_pipe('opentapioca', config={"url": OpenTapiocaAPI})
doc = nlp("Christian Drosten works in Germany.")

Vizualization

NEL vizualization is added to spaCy via pull request 9199 for issue 9129. It is supported by spaCy >= 3.1.4.

Use manual option in displaCy:

import spacy
nlp = spacy.blank("en")
nlp.add_pipe('opentapioca')
doc = nlp("Christian Drosten works\n in Charité, Germany.")
params = {"text": doc.text,
          "ents": [{"start": ent.start_char,
                    "end": ent.end_char,
                    "label": ent.label_,
                    "kb_id": ent.kb_id_,
                    "kb_url": "https://www.wikidata.org/entity/" + ent.kb_id_} 
                   for ent in doc.ents],
          "title": None}
spacy.displacy.serve(params, style="ent", manual=True)

The visualizer is serving on http://0.0.0.0:5000

In Jupyter Notebook replace spacy.displacy.serve by spacy.displacy.render.