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Research data supporting "Vancouver Welcomes You! Minimalist Location Metonymy Resolution"

Repository URI

https://www.repository.cam.ac.uk/handle/1810/265068

Repository DOI

https://doi.org/10.17863/CAM.9138
Thumbnail Image

Files

Minimalist-Location-Metonymy-Resolution.zip (50.59 MB)
 glove.6B.50d.txt.zip (66.03 MB)

Type

Dataset

Change log

Authors

Gritta, Milan  ORCID logo  https://orcid.org/0000-0003-0014-7275
Collier, Nigel  ORCID logo  https://orcid.org/0000-0002-7230-4164

Description

Complete supporting/replication data and code for the ACL Publication. The paper was published in August 2017 at www.acl2017.org

Version

Software / Usage instructions

The instructions are included in the README.md file.

Keywords

Natural Language Processing, NLP, Machine Learning, Metonymy, Keras, Computational Linguistics, Classification

Publisher

Rights and licensing

Attribution 4.0 International (CC BY 4.0)
Except where otherwised noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)
Sponsorship
Engineering and Physical Sciences Research Council (EP/M005089/1)
Medical Research Council (MR/M025160/1)
NERC (via Cranfield University) (NE/M009009/1)
Natural Environment Research Council (1649558)
We gratefully acknowledge the funding support of the Natural Environment Research Council (NERC) PhD Studentship NE/M009009/1 (Milan Gritta, DREAM CDT), EPSRC (Nigel Collier and Nut Limsopatham - Grant No. EP/M005089/1) and MRC (Mohammad Taher Pilehvar) Grant No. MR/M025160/1 for PheneBank.

Relationships

Supplements:
https://doi.org/10.18653/v1/P17-1115

Collections

Research Data - Theoretical and Applied Linguistics
Symplectic mapped items for data match