Named entity recognition from spontaneous open-domain speech
Mihai Surdeanu, Jordi Turmo, Eli Comelles · 2005
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 promis-ing results, approaching within 5 % a system evaluated on clean textual data. 1.