DOIAbstract
We implemented several statistical title generation methods using a training set of 21190 news stories and evaluated them on an independent test corpus of 1006 broadcast news documents, comparing the resulting titles based on manual transcription to the titles from automatically recognized speech. We use both F1 and the average number of correct title words in the correct order as evaluation metrics. The results show that title generation for speech-recognized news documents is possible at a level approaching the accuracy of titles generated for perfect text transcriptions.
Add to ORKG