This paper describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast News task at EVALITA 2011. This task represented a change with respect to previous editions of the NER task within the EVALITA evaluation campaign because it was based on automatic transcription of spoken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants’ results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.
Bartalesi Lenzi, V., Speranza, M., Sprugnoli, R., Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011Evaluation of Natural Language and Speech Tools for Italian, Paper, in Evaluation of Natural Language and Speech Tools for Italian. EVALITA 2012., (Roma, Italia, 24-25 January 2012), Springer Verlag, Berlino 2013:7689 86-97. 10.1007/978-3-642-35828-9_10 [http://hdl.handle.net/10807/133037]
Named Entity Recognition on Transcribed Broadcast News at EVALITA 2011Evaluation of Natural Language and Speech Tools for Italian
Sprugnoli, Rachele
2013
Abstract
This paper describes features and outcomes of the Named Entity Recognition on Transcribed Broadcast News task at EVALITA 2011. This task represented a change with respect to previous editions of the NER task within the EVALITA evaluation campaign because it was based on automatic transcription of spoken broadcast news. In this paper, we present the training and test data used, the evaluation procedure and participants’ results. In particular, three participating systems are described and the results they obtained are discussed; special attention is given to the analysis of the impact of transcription errors on NER performance.
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