Snowball: A Prototype System for Extracting Relations from Large Text Collections

@inproceedings{Agichtein2001SnowballAP,
  title={Snowball: A Prototype System for Extracting Relations from Large Text Collections},
  author={Eugene Agichtein and Luis Gravano and Jeff Pavel and Viktoriya Sokolova and Aleksandr Voskoboynik},
  booktitle={SIGMOD Conference},
  year={2001}
}
Text documents often hide valuable structured data. For example, a collection of newspaper articles might contain information on the location of the headquarters of a number of organizations. If we need to nd the location of the headquarters of, say, Microsoft, we could try and use traditional information-retrieval techniques for nding documents that contain the answer to our query. Alternatively, we could answer such a query more precisely if we somehow had available a table listing all the… CONTINUE READING

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