Semantic similarity aggregators for very short textual expressions: a case study on landmarks and points of interest
Crossref DOI link: https://doi.org/10.1007/s10844-019-00561-0
Published Online: 2019-05-22
Published Print: 2019-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Martinez-Gil, Jorge https://orcid.org/0000-0002-5730-7965
Text and Data Mining valid from 2019-05-22
Version of Record valid from 2019-05-22
Article History
Received: 14 May 2018
Revised: 10 May 2019
Accepted: 14 May 2019
First Online: 22 May 2019