Structured and Extended Named Entity Evaluation in Automatic Speech Transcriptions
Olivier Galibert, Sophie Rosset, Cyril Grouin, Pierre Zweigenbaum, Ludovic Quintard · International Joint Conference on Natural Language Processing · 2011
The evaluation of named entity recognition (NER) methods is an active field of research. This includes the recognition of named entities in speech transcripts. Evaluating NER systems on automatic speech recognition (ASR) output whereas human reference annotation was prepared on clean manual transcripts raises difficult alignment issues. These issues are emphasized when named entities are structured, as is the case in the Quaero NER challenge organized in 2010. This paper describes the structured named entity definition used in this challenge and presents a method to transfer reference annotations to ASR output. This method was used in the Quaero 2010 evaluation of extended named entity annotation on speech transcripts, whose results are given in the paper.