A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic summarization of open-domain multiparty dialogues in diverse genres
Computational Linguistics - Summarization
A tutorial on support vector regression
Statistics and Computing
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
Correlation between ROUGE and human evaluation of extractive meeting summaries
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
A skip-chain conditional random field for ranking meeting utterances by importance
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Summarizing speech without text using hidden Markov models
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Speech summarization without lexical features for Mandarin broadcast news
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
What are meeting summaries?: an analysis of human extractive summaries in meeting corpus
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Boosting support vector machines for imbalanced data sets
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Term-weighting for summarization of multi-party spoken dialogues
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts of ACL 2011
A pilot study of opinion summarization in conversations
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Extractive speech summarization using evaluation metric-related training criteria
Information Processing and Management: an International Journal
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Meeting summarization provides a concise and informative summary for the lengthy meetings and is an effective tool for efficient information access. In this paper, we focus on extractive summarization, where salient sentences are selected from the meeting transcripts to form a summary. We adopt a supervised learning approach for this task and use a classifier to determine whether to select a sentence in the summary based on a rich set of features. We address two important problems associated with this supervised classification approach. First we propose different sampling methods to deal with the imbalanced data problem for this task where the summary sentences are the minority class. Second, in order to account for human disagreement for summary annotation, we reframe the extractive summarization task using a regression scheme instead of binary classification. We evaluate our approaches using the ICSI meeting corpus on both the human transcripts and speech recognition output, and show performance improvement using different sampling methods and regression model.