Interspeech'2005 - Eurospeech
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.
Bibliographic reference. Surdeanu, Mihai / Turmo, Jordi / Comelles, Eli (2005): "Named entity recognition from spontaneous open-domain speech", In INTERSPEECH-2005, 3433-3436.