Показати скорочений опис матеріалу
dc.contributor.author | Maistruk, Andrii | |
dc.date.accessioned | 2021-09-07T09:35:50Z | |
dc.date.available | 2021-09-07T09:35:50Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Maistruk, Andrii. Geographical Named Entity Recognition from Travel Articles: Bachelor Thesis: manuscript / Andrii Maistruk; Supervisor: Vasyl Mylko; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2021. – 25 p.: ill. | uk |
dc.identifier.uri | https://er.ucu.edu.ua/handle/1/2856 | |
dc.description.abstract | Geographical Named Entity Recognition, also known as geoparsing, is the task of obtaining geographical coordinates from free-format text, arises in many real-world applications such as understanding location instructions in auto-response systems, determining a document’s geographic scope, real-time social media geographical event analysis, and more. Geoparsing consists of two parts: toponym extraction from the text; toponym resolution, disambiguating and connecting toponyms to fully specified real-world locations, geographical coordinates. In this work, I tackle the problem of geoparsing travel guide articles. For this reason, I developed the geoparsing system. As input data, National Geographic Travel articles describing road trips in the United States were used. The code is available on Github[23]. | uk |
dc.language.iso | en | uk |
dc.subject | Geographical Named Entity Recognition | uk |
dc.subject | toponym recognition | uk |
dc.subject | toponym resolution | uk |
dc.subject | toponym pragmatics | uk |
dc.subject | geoparsing tools | uk |
dc.title | Geographical Named Entity Recognition from Travel Articles | uk |
dc.type | Preprint | uk |
dc.status | Публікується вперше | uk |