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dc.contributor.authorMcNaught, John
dc.date.accessioned2017-08-10T13:43:09Z
dc.date.available2017-08-10T13:43:09Z
dc.date.issued2017-07-12
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/266235
dc.descriptionPresentation delivered at Text and Data Mining Symposium held at the University of Cambridge.en
dc.language.isoenen
dc.rightsAll Rights Reserveden
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved/en
dc.titleText mining: The view from NaCTeMen
dc.typePresentationen
dc.identifier.doi10.17863/CAM.12532
dcterms.relationhttps://www.repository.cam.ac.uk/handle/1810/266221
dcterms.relationhttps://www.repository.cam.ac.uk/handle/1810/266225
dcterms.relationhttps://www.repository.cam.ac.uk/handle/1810/266228
dcterms.relationhttps://www.repository.cam.ac.uk/handle/1810/266230
dcterms.relationhttps://www.repository.cam.ac.uk/handle/1810/266233
dcterms.relationhttps://www.repository.cam.ac.uk/handle/1810/266234
dcterms.relationhttps://www.repository.cam.ac.uk/handle/1810/266236


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