RT @linguistlist: TOC: Language Resources and Evaluation Vol. 54, No. 3 (2020): DOI: https://t.co/YruG8Z23Yr Title: Digitization of data fo…
TOC: Language Resources and Evaluation Vol. 54, No. 3 (2020): DOI: https://t.co/YruG8Z23Yr Title: Digitization of data for a historical medical dictionary (OA) Author(s): Norri, J., Junkkari, M., Poranen, T. pages: 615-643 DOI: https://t.co/WSaaVGq8sA… htt
RT @johndkelleher: Thanks to @mldublin and @linkedinfor for a great meetup. Also to my co-authors: Magdalena Kacmajor @Lemoncloak @alfredom…
RT @johndkelleher: Thanks to @mldublin and @linkedinfor for a great meetup. Also to my co-authors: Magdalena Kacmajor @Lemoncloak @alfredom…
RT @johndkelleher: Thanks to @mldublin and @linkedinfor for a great meetup. Also to my co-authors: Magdalena Kacmajor @Lemoncloak @alfredom…
RT @johndkelleher: Thanks to @mldublin and @linkedinfor for a great meetup. Also to my co-authors: Magdalena Kacmajor @Lemoncloak @alfredom…
Thanks to @mldublin and @linkedinfor for a great meetup. Also to my co-authors: Magdalena Kacmajor @Lemoncloak @alfredomg Talk papers at: https://t.co/Y0o69ALPaz and https://t.co/9lWmo1xHr4 And the code for our random walk experiments at: https://t.co/3qGy
RT @garretthonke: neat paper from Kacmajor and @johndkelleher showing how "SoTA" distributional semantics skip-gram models for #NLP/#NLProc…
neat paper from Kacmajor and @johndkelleher showing how "SoTA" distributional semantics skip-gram models for #NLP/#NLProc aren't perfect stand-ins for similarity---particularly taxonomic category member similarity https://t.co/TprCT7s7fj
RT @johndkelleher: Modelling Thematic and Taxonomic #lexicalsemantics New research on #wordnet v. #wordembeddings comparing ~50 models a…
RT @johndkelleher: Modelling Thematic and Taxonomic #lexicalsemantics New research on #wordnet v. #wordembeddings comparing ~50 models a…
RT @johndkelleher: Modelling Thematic and Taxonomic #lexicalsemantics New research on #wordnet v. #wordembeddings comparing ~50 models a…
Modelling Thematic and Taxonomic #lexicalsemantics New research on #wordnet v. #wordembeddings comparing ~50 models across 4 evaluation datasets from @AdaptCentre at @tudublincompsci and IBM available #openaccess in Language Resources and Evaluation htt