Toponym detection in the bio-medical domain: A hybrid approach with deep learning
dc.contributor.author | Plum, Alistair | |
dc.contributor.author | Ranasinghe, Tharindu | |
dc.contributor.author | Orăsan, Constantin | |
dc.date.accessioned | 2019-09-06T13:36:09Z | |
dc.date.available | 2019-09-06T13:36:09Z | |
dc.date.issued | 2019-09-02 | |
dc.identifier.citation | Plum, A., Ranasinghe, T. and Orasan, C. (2019) Toponym detection in the bio-medical domain: A hybrid approach with deep learning. RANLP 2017, 2nd-4th September, Varna, Bulgaria. | en |
dc.identifier.isbn | 9789544520557 | |
dc.identifier.issn | 1313-8502 | |
dc.identifier.uri | http://hdl.handle.net/2436/622706 | |
dc.description.abstract | This paper compares how different machine learning classifiers can be used together with simple string matching and named entity recognition to detect locations in texts. We compare five different state-of-the-art machine learning classifiers in order to predict whether a sentence contains a location or not. Following this classification task, we use a string matching algorithm with a gazetteer to identify the exact index of a toponym within the sentence. We evaluate different approaches in terms of machine learning classifiers, text pre-processing and location extraction on the SemEval-2019 Task 12 dataset, compiled for toponym resolution in the bio-medical domain. Finally, we compare the results with our system that was previously submitted to the SemEval-2019 task evaluation. | en |
dc.format | application/PDF | en |
dc.language.iso | en | en |
dc.publisher | RANLP | en |
dc.relation.url | http://lml.bas.bg/ranlp2019/proceedings-ranlp-2019.pdf | en |
dc.subject | toponymy detection | en |
dc.subject | deep learning | en |
dc.title | Toponym detection in the bio-medical domain: A hybrid approach with deep learning | en |
dc.type | Conference contribution | en |
dc.date.updated | 2019-09-02T22:47:40Z | |
dc.conference.name | RANLP 2019 | |
dc.conference.location | Varna, Bulgaria | |
pubs.finish-date | 2019-09-04 | |
pubs.finish-date | 2019-09-04 | |
pubs.start-date | 2019-09-02 | |
pubs.start-date | 2019-09-02 | |
dc.date.accepted | 2019-07-06 | |
rioxxterms.funder | University of Wolverhampton | en |
rioxxterms.identifier.project | UOW060919CO | en |
rioxxterms.version | AM | en |
rioxxterms.licenseref.uri | https://creativecommons.org/licenses/by/4.0/ | en |
rioxxterms.licenseref.startdate | 2019-09-06 | en |
dc.description.version | Published version | |
refterms.dateFCD | 2019-09-06T11:25:51Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-09-06T13:36:10Z |