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What is word sense disambiguation good for?

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What is word sense disambiguation good for?. Adam Kilgarriff. The goal of WSD research is usually taken to be disambiguation between senses given in a dictionary, thesaurus or similar. senses. Word senses are a response to constraints imposed by: tradition the printed page compactness

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Presentation Transcript
slide1

What is

word sense disambiguation

good for?

Adam Kilgarriff

slide2

The goal of WSD research is usually taken to be disambiguation between senses given in a dictionary, thesaurus or similar.

senses

slide3

Word senses are a response to constraints imposed by:

  • tradition
  • the printed page
  • compactness
  • a single, simple method of access
  • resolving disputes about what a word does and does not mean
slide7

For reference:

I don\'t believe in word senses

(Kilgarriff, 1997)

slide8

WSD application domains:

  • Information Retreival
  • Machine Translation
  • Parsing
  • Lexicography
  • Language Understanding
slide9

IR

Work

Conclusion

Compared

Results

Krovetz

and Croft (1992)

a perfect

WSD program would improve performance

by 2%.

WS-ambiguity causes only limited degradation of IR performance

IR performance „with ambiguity“ and „without ambiguity“

introducing extra ambiguity did little to

degrade performance

the performance of [IR] systems is insensitive

to ambiguity but very sensitive to erroneous

disambiguation

pseudoword

(banana-kalashnikov) pretending to be a single word with 2 meanings

Sanderson (1994)

system performance with the disambiguation

module improved by up to 4.3%

4% is a significant improvement

Schütze (1997)

sensediscrimination

slide10

MT

  • Two variants of ambiguity:
  • monolingual ambiguity
  • translational ambiguity

No recent WSD work is employed in MT systems

slide11

Parsing

Consider a case of

syntactic ambiguity (PP attachment):

1 I love baking cakes with friends.

2 I love baking cakes with butter icing.

Lexical information can resolve many syntactic ambiguities without being sense-disambiguated.

slide12

This good-for-nothing WSD

Does WS ambiguity cause problems for NLP applications?

IR: yes, to some moderate degree.

Problems can substantially be overcome by using longer queries.

MT: yes. Huge problem.

Addressed to date by lots and lots of selection restrictions.

Parsing: not known.

Lexicography: yes, WSD would be of benefit.

NLU: not much. NLU applications are mostly domain specic, and have some sort of domain model.

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