Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings

@inproceedings{Kim2012BuildingAL,
  title={Building a Lightweight Semantic Model for Unsupervised Information Extraction on Short Listings},
  author={Doo Soon Kim and Kunal Verma and Peter Z. Yeh},
  booktitle={EMNLP-CoNLL},
  year={2012}
}
Short listings such as classified ads or product listings abound on the web. If a computer can reliably extract information from them, it will greatly benefit a variety of applications. Short listings are, however, challenging to process due to their informal styles. In this paper, we present an unsupervised information extraction system for short listings. Given a corpus of listings, the system builds a semantic model that represents typical objects and their attributes in the domain of the… CONTINUE READING

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