ESSLLI08_Nouns: Noun Clustering Task from ESSLLI 2008 (wordspace)

In wordspace: Distributional Semantic Models in R

Noun Clustering Task from ESSLLI 2008 (wordspace)

Description

A set of 44 nouns denoting basic-level concepts from 6 semantic classes, used as a gold standard in the ESSLLI 2008 shared task on noun clustering.

Usage

  
ESSLLI08_Nouns
  

Format

A data frame with 44 rows and the following 5 columns:

word

a character vector specifying the 44 nouns in CWB/Penn format (see convert.lemma)

class

a factor vector specifying the semantic class of each noun (bird, fruitTree, green, groundAnimal, tool, vehicle)

class2

a factor vector specifying a coarser 3-class categorization (animal, vegetable, artifact)

class3

a factor vector specifying a coarser 2-class categorization (natural, artifact)

freq.bnc

a numeric vector specifying the frequency of each noun in the British National Corpus

Source

http://wordspace.collocations.de/doku.php/data:esslli2008:concrete_nouns_categorization

Examples

print(ESSLLI08_Nouns)

wordspace documentation built on Aug. 23, 2022, 1:06 a.m.