Nigel Collier
researcher
Facts
11 properties- Instance of
- human
- Occupation
- university teacher
- Employer
- University of Cambridge (2015–present), National Institute of Informatics (2000–2012)[2][3]
- Educated at
- University of Manchester[4]
- Official website
- sites.google.com[9]
- Doctoral student
- John P. McCrae[6]
- Imported from
- wholeness_audit_2026-05-02
- Maintained by WikiProject
- WikiProject Mathematics[10]
🏷️ Also known as
en Nigel Collier
ja ナイジェル・コリア
🔖 Identifiers · 13
- ORCID iD
- 0000-0002-7230-4164
- VIAF cluster ID
- 436144782737196238194
- OpenAlex ID
- A5073413742as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- CiNii Research ID
- 1030003658345942912
- DBLP author ID
- 90/2619
- E-Rad researcher number
- 60333275
- Gateway to Research person ID
- C05B6C9A-10C1-4733-93C1-B7FCD9617D13
- IdRef ID
- 188700722
- J-GLOBAL ID
- 200901059953867500
- Loop ID
- 404124
- Researchmap ID
- read0061174
- Semantic Scholar author ID
- 3072167
Show all 13 identifiers +1
- ZbMATH author ID
- collier.nigel
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 45
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages,
A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics.,
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction,
Automatic concept recognition using the Human Phenotype Ontology reference and test suite corpora,
Bidirectional LSTM for Named Entity Recognition in Twitter Messages,
BioCaster in 2021: automatic disease outbreaks detection from global news media,
BioReddit: Word Embeddings for User-Generated Biomedical NLP,
Concept selection for phenotypes and diseases using learn to rank
+37 more
← Authored by 45
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages,
A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics.,
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction,
Automatic concept recognition using the Human Phenotype Ontology reference and test suite corpora,
Bidirectional LSTM for Named Entity Recognition in Twitter Messages,
BioCaster in 2021: automatic disease outbreaks detection from global news media,
BioReddit: Word Embeddings for User-Generated Biomedical NLP,
Concept selection for phenotypes and diseases using learn to rank
+37 more
Affiliated with 24
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Summary
Nigel Collier worked as a university teacher[1].
Body
Career and Affiliations
Employers include University of Cambridge[2], a collegiate university[11], in United Kingdom[12], founded in 1209[13], headquartered in Cambridge[14] and National Institute of Informatics[3], a research institute[15], in Japan[16].
FAQs
What did Nigel Collier do for work?
Nigel Collier worked as university teacher[1].
Where did Nigel Collier go to school?
Nigel Collier was educated at University of Manchester[4].