|Author(s):||Enrico Santus, Hongchao Liu, Chu-Ren Huang|
|LDC Catalog No.:||LDC2020T06|
|Release Date:||March 13, 2020|
|Data Source(s):||web collection|
|Application(s):||semantic role labelling|
|Language(s):||Mandarin Chinese, English|
|Language ID(s):||cmn, eng|
|Online Documentation:||LDC2020T06 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Santus, Enrico, Hongchao Liu, and Chu-Ren Huang. EVALution LDC2020T06. Web Download. Philadelphia: Linguistic Data Consortium, 2020.|
EVALution was developed by The Hong Kong Polytechnic University. It is comprised of English and Mandarin Chinese data sets -- EVALution 1.0 and EVALution-Man, respectively -- that contain semantic relations and metadata for training and evaluating distributional semantic models.
EVALution 1.0 consists of approximately 7500 English tuples extracted from ConceptNet 5.0 and WordNet and filtered through automatic methods and crowd-sourcing. Several semantic relations between word pairs were instantiated, including hypernymy, synonymy, antonymy and meronymy. The corpus also includes additional information that can be used to filter the pairs or to analyze the results, such as relation domain, word frequency, word part-of-speech and word semantic field.
EVALution-MAN consists of Chinese word pairs from two sources: Chinese Wordnet and humans who completed an elicitation task by supplying missing words to sentences. The human-supplied sentence word pairs were then judged by human raters for reliability.
All text data is presented as UTF-8 encoded tab separated plain text.
None at this time.