Collier N - Search Results

1

Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction.

Le HQ, Tran MV, Dang TH, Ha QT, Collier N. Le HQ, et al. Among authors: collier n. Database (Oxford). 2016 Jul;2016:baw102. doi: 10.1093/database/baw102. Database (Oxford). 2016. PMID: 27630201 Free PMC article.

2

Erratum: Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction.

Le HQ, Tran MV, Dang TH, Ha QT, Collier N. Le HQ, et al. Among authors: collier n. Database (Oxford). 2016 Sep 6;2016:baw131. doi: 10.1093/database/baw131. eCollection 2016. Database (Oxford). 2016. PMID: 31265697 Free PMC article.

3

Learning to recognize phenotype candidates in the auto-immune literature using SVM re-ranking.

Collier N, Tran MV, Le HQ, Ha QT, Oellrich A, Rebholz-Schuhmann D. Collier N, et al. PLoS One. 2013 Oct 14;8(10):e72965. doi: 10.1371/journal.pone.0072965. eCollection 2013. PLoS One. 2013. PMID: 24155869 Free PMC article.

4

Exploiting document graphs for inter sentence relation extraction.

Le HQ, Can DC, Collier N. Le HQ, et al. Among authors: collier n. J Biomed Semantics. 2022 Jun 3;13(1):15. doi: 10.1186/s13326-022-00267-3. J Biomed Semantics. 2022. PMID: 35659292 Free PMC article.

5

PhenoMiner: from text to a database of phenotypes associated with OMIM diseases.

Collier N, Groza T, Smedley D, Robinson PN, Oellrich A, Rebholz-Schuhmann D. Collier N, et al. Database (Oxford). 2015 Oct 27;2015:bav104. doi: 10.1093/database/bav104. Print 2015. Database (Oxford). 2015. PMID: 26507285 Free PMC article.

6

Automatic concept recognition using the human phenotype ontology reference and test suite corpora.

Groza T, Köhler S, Doelken S, Collier N, Oellrich A, Smedley D, Couto FM, Baynam G, Zankl A, Robinson PN. Groza T, et al. Among authors: collier n. Database (Oxford). 2015 Feb 27;2015:bav005. doi: 10.1093/database/bav005. Print 2015. Database (Oxford). 2015. PMID: 25725061 Free PMC article.

7

PheneBank: a literature-based database of phenotypes.

Pilehvar MT, Bernard A, Smedley D, Collier N. Pilehvar MT, et al. Among authors: collier n. Bioinformatics. 2022 Jan 27;38(4):1179-1180. doi: 10.1093/bioinformatics/btab740. Bioinformatics. 2022. PMID: 34788791 Free PMC article.

8

A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics.

Gritta M, Pilehvar MT, Collier N. Gritta M, et al. Among authors: collier n. Lang Resour Eval. 2020;54(3):683-712. doi: 10.1007/s10579-019-09475-3. Epub 2019 Sep 19. Lang Resour Eval. 2020. PMID: 32802011 Free PMC article.

9

Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.

Oellrich A, Collier N, Smedley D, Groza T. Oellrich A, et al. Among authors: collier n. PLoS One. 2015 Jan 21;10(1):e0116040. doi: 10.1371/journal.pone.0116040. eCollection 2015. PLoS One. 2015. PMID: 25607983 Free PMC article.

10

Concept selection for phenotypes and diseases using learn to rank.

Collier N, Oellrich A, Groza T. Collier N, et al. J Biomed Semantics. 2015 Jun 1;6:24. doi: 10.1186/s13326-015-0019-z. eCollection 2015. J Biomed Semantics. 2015. PMID: 26034558 Free PMC article.

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