Extractive summarization of broadcast news


Revision as of 17:50, 2 November 2006 by David (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Ricardo Daniel Ribeiro


  • 15:30, November 03, 2006
  • 3rd floor meeting room



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.