@inproceedings{Surdeanu:2005,
  abstract = {This paper presents an analysis of named entity recognition and classification in spontaneous speech transcripts. We annotated a significant fraction of the Switchboard corpus with six named entity classes and investigated a battery of machine learning models that include lexical, syntactic, and semantic attributes. The best recognition and classification model obtains promising results, approaching within 5% a system evaluated on clean textual data.},
  added-at = {2007-12-14T02:47:08.000+0100},
  address = {Lisbon},
  author = {Surdeanu, Mihai and Turmo, Jordi and Comelles, Eli},
  biburl = {http://www.bibsonomy.org/bibtex/22b0790ca9fa1c810363f5df441fc1254/diego_ma},
  booktitle = {Proceedings Interspeech-05},
  interhash = {5c1e7cca18b3a3a40a8456f8bbf44519},
  intrahash = {2b0790ca9fa1c810363f5df441fc1254},
  keywords = {named_entities speech},
  timestamp = {2007-12-14T02:47:08.000+0100},
  title = {Named Entity Recognition from Spontaneous Open-Domain Speech},
  url = {http://www.lsi.upc.edu/~comelles/},
  year = 2005
}