R: Noun Clustering Task from ESSLLI 2008 (wordspace)

ESSLLI08_Nouns {wordspace} | R Documentation

## 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)

[Package wordspace version 0.2-6 Index]