Extractive summarization of broadcast news
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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INESC-ID ESR Talks – February 2023
If you are a masters/PhD student or a postdoctoral fellow, come and present your work in an informal and friendly environment – and savour some tasty snacks!
Individual talks will be 10-15 minutes plus time for feedback. Enroll on your selected date by emailing pedro.ferreira[at]inesc-id.pt.
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