41 |
Simulating Lexical Semantic Change from Sense-Annotated Data ...
|
|
|
|
BASE
|
|
Show details
|
|
42 |
Shared task: Lexical semantic change detection in German (Student Project Report) ...
|
|
|
|
BASE
|
|
Show details
|
|
43 |
SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
45 |
Swedish Test Data for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
46 |
LatinISE test data for SemEval 2020 task 1 with additional token versions of the corpora ...
|
|
|
|
BASE
|
|
Show details
|
|
49 |
LatinISE test data for SemEval 2020 task 1 with additional token versions of the corpora ...
|
|
|
|
BASE
|
|
Show details
|
|
50 |
Swedish Test Data for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
51 |
Swedish Test Data for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection ...
|
|
|
|
Abstract:
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`) - the annotated binary change scores of the targets for subtask 1, and their annotated graded change scores for subtask 2 (`truth/`) 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 pipelien 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 ... : The creation of the data was supported by the project Towards Computational Lexical Semantic Change Detection funded by a project grant from the Swedish Research Council (2019–2022; dnr 2018-01184). It has also been created as part of the effort to construct and develop a Swedish national research infrastructure in support of research based on language data. This infrastructure -- Nationella språkbanken (the Swedish National Language Bank) -- is jointly funded for the period 2018--2024 by the Swedish Research Council (grant number 2017-00626) and its 10 partner institutions. ...
|
|
Keyword:
unsupervised lexical semantic change detection, semantic change, SemEval2020, Kubhist2
|
|
URL: https://dx.doi.org/10.5281/zenodo.3730550 https://zenodo.org/record/3730550
|
|
BASE
|
|
Hide details
|
|
52 |
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
53 |
SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
|
|
|
|
BASE
|
|
Show details
|
|
54 |
Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change ...
|
|
|
|
BASE
|
|
Show details
|
|
55 |
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains ...
|
|
|
|
BASE
|
|
Show details
|
|
56 |
Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change ...
|
|
|
|
BASE
|
|
Show details
|
|
57 |
German in Flux: Detecting Metaphoric Change via Word Entropy ...
|
|
|
|
BASE
|
|
Show details
|
|
58 |
Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|