Documentary abstracting: toward a methodological model
Journal of the American Society for Information Science
SimSum: an empirically founded simulation of summarizing
Information Processing and Management: an International Journal
Generic text summarization using relevance measure and latent semantic analysis
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Incorporating speaker and discourse features into speech summarization
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
An information-theoretic approach to automatic evaluation of summaries
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
CollabSum: exploiting multiple document clustering for collaborative single document summarizations
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Mixed-source multi-document speech-to-text summarization
MMIES '08 Proceedings of the Workshop on Multi-source Multilingual Information Extraction and Summarization
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Automatically evaluating content selection in summarization without human models
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
A risk minimization framework for extractive speech summarization
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Extractive speech summarization using shallow rhetorical structure modeling
IEEE Transactions on Audio, Speech, and Language Processing
Multilingual summarization evaluation without human models
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A Probabilistic Generative Framework for Extractive Broadcast News Speech Summarization
IEEE Transactions on Audio, Speech, and Language Processing
Enriching speech recognition with automatic detection of sentence boundaries and disfluencies
IEEE Transactions on Audio, Speech, and Language Processing
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We explore the use of contextual information of the same type, i.e., speech transcriptions, to assess the relevant content of a single information source. Our proposal consists in the use of topic-related additional information sources to contextualize the information of the main input source, improving the estimation of the most important passages. We analyse the impact of using as additional information both the full topic-related stories and just the passages from those stories that are closer to the passages of the input source to be summarized. A multi-document summarization framework, Latent Semantic Analysis (LSA), provides the means to assess the relevant content. To minimize the influence of speech-related problems, we explore several term weighting strategies. Evaluation is performed using an information-theoretic evaluation measure, the Jensen-Shannon divergence, that does not need reference summaries.