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Taufiq Hasan

2 accepted papers

2016

Automatic composition of broadcast news summaries using rank classifiers trained with acoustic and lexical features

ICASSP 2016accepted

Research on automatic speech summarization typically focuses on optimizing objective evaluation criteria, such as the ROUGE metric, which depend on word and phrase overlaps between automatic and manually generated summary documents. However, the actual quality of the speech summarizer largely depend…

Cited by 0SourceScholar
2015

Automatic broadcast news summarization via rank classifiers and crowdsourced annotation

ICASSP 2015accepted

Extractive speech summarization methods generally operate as a binary classifier deciding if a sentence belongs to the summary or not. However, it is well known that even human annotators do not agree on selecting most summary sentences. In this paper, we take a probabilistic view of the summarizati…

Cited by 0SourceScholar