R: SemCor Word Sense Disambiguation Task (wordspace)

SemCorWSD {wordspace} | R Documentation

## SemCor Word Sense Disambiguation Task (wordspace)

### Description

A collection of sentences containing ambiguous words manually labelled with WordNet senses. The data were obtained from the SemCor corpus version 3.0.

### Usage

    SemCorWSD

### Format

A data frame with 647 rows and the following 8 columns (all of type character):

`id`

  Unique item ID

`target`

  The target word (lemmatized)

`pos`

  Word class of the target word (`n`, `v` or `a`)

`sense`

  Sense of the target word in this sentence (given as a WordNet lemma)

`gloss`

  WordNet definition of this sense

`sentence`

  The sentence containing the ambiguous word

`hw`

  Lemmatized form of the sentence (“headwords”); punctuation marks are excluded and all remaining words are case-folded

`lemma`

  Lemmatized and POS-disambiguated form in CWB/Penn format, e.g. `move_N` for the headword move used as a noun

### Details

Target words and senses had to meet the following criteria in order to be included in the data set:

- sense occurs f ≥ 5 times in SemCor 3.0

- sense accounts for at least 10% of all occurrences of the target

- at least two senses of target remain after previous two filters

`SemCorWSD` contains sentence contexts for the following target words:

- ambiguous nouns from Schütze (1998): interest, plant, space, vessel

- misc. ambiguous nouns: bank

- misc. ambiguous verbs: find, grasp, open, run

### Source

TODO (SemCor reference, NLTK extraction)

### References

Schütze, Hinrich (1998). Automatic word sense discrimination. Computational Linguistics, 24(1), 97–123.

### See Also

`context.vectors`

### Examples

    with(SemCorWSD, table(sense, target))

    # all word senses with brief definitions ("glosses")
    with(SemCorWSD, sort(unique(paste0(target, " ", sense, ": ", gloss))))

[Package wordspace version 0.2-6 Index]