ESSLLI08_Nouns

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.

datasets

An interactive laboratory for research on distributional semantic models ('DSM',
see <https://en.wikipedia.org/wiki/Distributional_semantics> for more information).

Stephanie Evert

wordspace

Distributional Semantic Models in R

ESSLLI08_Nouns function

A data frame with 44 rows and the following 5 columns:<dl>
 <dt><code>word</code></dt>
<dd>a character vector specifying the 44 nouns in CWB/Penn format (see <code>convert.lemma</code>)</dd> <dt><code>class</code></dt>
<dd>a factor vector specifying the semantic class of each noun (bird, fruitTree, green, groundAnimal, tool, vehicle)</dd> <dt><code>class2</code></dt>
<dd>a factor vector specifying a coarser 3-class categorization (animal, vegetable, artifact)</dd> <dt><code>class3</code></dt>
<dd>a factor vector specifying a coarser 2-class categorization (natural, artifact)</dd> <dt><code>freq.bnc</code></dt>
<dd>a numeric vector specifying the frequency of each noun in the British National Corpus</dd> 
</dl>

Format

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.

Noun Clustering Task from ESSLLI 2008 (wordspace) — ESSLLI08_Nouns

A data frame with 44 rows and the following 5 columns:<dl>
 <dt><code>word</code></dt>
<dd>a character vector specifying the 44 nouns in CWB/Penn format (see <code>convert.lemma</code>)</dd>

 <dt><code>class</code></dt>
<dd>a factor vector specifying the semantic class of each noun (bird, fruitTree, green, groundAnimal, tool, vehicle)</dd>

 <dt><code>class2</code></dt>
<dd>a factor vector specifying a coarser 3-class categorization (animal, vegetable, artifact)</dd>

 <dt><code>class3</code></dt>
<dd>a factor vector specifying a coarser 2-class categorization (natural, artifact)</dd>

 <dt><code>freq.bnc</code></dt>
<dd>a numeric vector specifying the frequency of each noun in the British National Corpus</dd>

 
</dl>

ESSLLI08_Nouns: Noun Clustering Task from ESSLLI 2008 (wordspace)

Description

Usage

Arguments

Format

Examples