Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Automatic title generation for EM
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Automated Alignment and Annotation of Audio-Visual Presentations
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Multi-sentence compression: finding shortest paths in word graphs
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
Just title it! (by an online application)
EACL '12 Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics
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In this paper, we implemented a set of title generation methods using training set of 21190 news stories and evaluated them on an independent test corpus of 1006 broadcast news documents, comparing the results over manual transcription to the results over automatically recognized speech. We use both F1 and the average number of correct title words in the correct order as metric. Overall, 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.