Identifying Functional Relations in Web Text

@inproceedings{Lin2010IdentifyingFR,
  title={Identifying Functional Relations in Web Text},
  author={Thomas Lin and Mausam and Oren Etzioni},
  booktitle={EMNLP},
  year={2010}
}
Determining whether a textual phrase denotes a functional relation (i.e., a relation that maps each domain element to a unique range element) is useful for numerous NLP tasks such as synonym resolution and contradiction detection. Previous work on this problem has relied on either counting methods or lexico-syntactic patterns. However, determining whether a relation is functional, by analyzing mentions of the relation in a corpus, is challenging due to ambiguity, synonymy, anaphora, and other… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 30 REFERENCES

Identi - fying well - specified relations for open information extraction . ( In preparation )

  • C. Fellbaum
  • WordNet : An Electronic Lexical Database
  • 2010

Identifying well-specified relations for open information extraction

  • A. Fader, O. Etzioni, S. Soderland.
  • (In preparation).
  • 2010
1 Excerpt

Freebase data dumps

  • Metaweb Technologies.
  • http://download.freebase.com/datadumps/.
  • 2009

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