Ricardo Ribeiro,

Inesc-ID

Abstract:

We present early results from our work on extractive summarization of broadcast news. The feature-based summarizer receives as input the automatic transcription of the news, already divided into stories, and produces as output a summary for each story. The main problems dealt with were sentence segmentation and scoring. Since summary evaluation requires hand-made summaries and/or human grading of the produced summaries, it is left as future work.

 

Date: 2006-Nov-03     Time: 15:30:00     Room: 336


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