SemEval2020 Task 1
type: Dataset
distribution: Landing page for the dataset
description: This data collection contains the Swedish test data for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection: - a Swedish text corpus pair (`corpus1/`, `corpus2/`) - 31 lemmas which have been annotated for their lexical semantic change between the two corpora (`targets.txt`) We sample from the KubHist2 corpus, digitized by the National Library of Sweden, and available through the Språkbanken corpus infrastructure Korp (Borin et al., 2012). The full corpus is available through a CC BY (attribution) license. Each word for which the lemmatizer in the Korp pipeline has found a lemma is replaced with the lemma. In cases where the lemmatizer cannot find a lemma, we leave the word as is (i.e., unlemmatized, no lower-casing). KubHist contains very frequent OCR errors, especially for the older data.More detail about the properties and quality of the Kubhist corpus can be found in (Adesam et al., 2019). Lars Borin, Markus Forsberg, and Johan Roxendal. Korp-the corpus infrastructure of Språkbanken. LREC. 2012. * Yvonne Adesam, Dana Dannélls, and Nina Tahmasebi. Exploring the Quality of the Digital Historical Newspaper Archive KubHist. DHN. 2019. __Corpus 1__ - based on: Kubhist2 - language: Swedish - time covered: 1790-1830 - size: ~71 million tokens - format: lemmatized, sentence length >= 9 (before removal of punctuation), no punctuation, sentences randomly shuffled - encoding: UTF-8 - note: contains frequent OCR errors __Corpus 2__ - based on: Kubhist2 - language: Swedish - time covered: 1895-1903 - size: ~111 million tokens - format: lemmatized, sentence length >= 9 (before removal of punctuation), no punctuation, sentences randomly shuffled - encoding: UTF-8 - note: contains OCR errors Reference this testset as: Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi. SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection:.In Proceedings of the 14th International Workshop on Semantic Evaluation, Barcelona, …
description: Denna datamängd samlar den svenska testdatan för SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection: - Ett svenskt korpuspar (`corpus1/`, `corpus2/`) - 31 lemmas som har blivit annoterad med lexikosemantisk förändring mellan de två korpusarna (`targets.txt`) Vi samplar ur Kubhist2, en samling med dagstidningar digitaliserade av KB, och tillgängliga via Språkbankens infrastruktur Korp (Borin et al., 2012). Korpusen är tillgänglig genom en CC BY (attribution licens. Korpusen är lemmatiserad med hjälp av Korp. Varje ord har ersatts med ett lemma har ersatts om detta varit möjligt, annars har ordet behållts som det är (icke-lemmatiserat och utan att versaler har ändrade till gemener). Kubhist-texterna innehåller en stor mängd OCR fel, speciellt den tidigare delkorpusen. Mer information om Kubhist och dess kvalité finns att finna i (Adesam et al., 2019). Lars Borin, Markus Forsberg, and Johan Roxendal. Korp-the corpus infrastructure of Språkbanken. LREC. 2012. Yvonne Adesam, Dana Dannélls, and Nina Tahmasebi. Exploring the Quality of the Digital Historical Newspaper Archive KubHist. DHN. 2019. __Corpus 1__ - baserad på: Kubhist2 - språk: Swedish - tidsspann: 1790-1830 - storlek: ~71 million tokens - format: lemmatiserat, meningslängd >= 9 (före rensning av skiljetecken), inga skiljetecken, meningsomkastad - encoding: UTF-8 - kommentar: innehåller frekventa OCR fel __Corpus 2__ - baserad på: Kubhist2 - språk: Swedish - tidsspann: 1895-1903 - storlek: ~111 million tokens - format: lemmatiserat, meningslängd >= 9 (före rensning av skiljetecken), inga skiljetecken, meningsomkastad - encoding: UTF-8 - kommentar: innehåller OCR fel Referera till detta testset genom: Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi. SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection. In Proceedings of the 14th International Workshop on Semantic Evaluation, Barcelona, Spain, 2020. Association for Computational Linguis… @sv
modified: 2024-01-25T00:00:00Z
issued: 2024-01-01T00:00:00Z
publisher: University of Gothenburg
qualified attribution: Attribution
  had role: author
  agent: Språkbanken Text
    type: Agent
    type: Academia-ScientificOrganisation
keyword: Language Technology (Computational Linguistics)
keyword: corpus
language: SWE

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: SemEval2020 Task 1
availability: stable

University of Gothenburg
type: Agent
name: Göteborgs universitet @sv
type: Academia-ScientificOrganisation
source: 01tm6cn81