A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Statistical methods for speech recognition
Statistical methods for speech recognition
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning of generic and user-focused summarization
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Training a selection function for extraction
Proceedings of the eighth international conference on Information and knowledge management
A language modeling approach to information retrieval
A language modeling approach to information retrieval
Statistics-Based Summarization - Step One: Sentence Compression
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The Candide system for machine translation
HLT '94 Proceedings of the workshop on Human Language Technology
A new approach to unsupervised text summarization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Artificial Intelligence
The diversity-based approach to open-domain text summarization
Information Processing and Management: an International Journal
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
New Feature Sets for Summarization by Sentence Extraction
IEEE Intelligent Systems
World wide web site summarization
Web Intelligence and Agent Systems
Visualization-enabled multi-document summarization by Iterative Residual Rescaling
Natural Language Engineering
A noisy-channel model for document compression
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Induction of Word and Phrase Alignments for Automatic Document Summarization
Computational Linguistics
Multi-answer-focused multi-document summarization using a question-answering engine
ACM Transactions on Asian Language Information Processing (TALIP)
Multi-answer-focused multi-document summarization using a question-answering engine
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Automatic summarising: The state of the art
Information Processing and Management: an International Journal
Learning query-biased web page summarization
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A Technique for Summarizing Web Reviews
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A meta-learning approach for selecting between response automation strategies in a help-desk domain
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A predictive approach to help-desk response generation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Automating help-desk responses: a comparative study of information-gathering approaches
SumQA '06 Proceedings of the Workshop on Task-Focused Summarization and Question Answering
An empirical study of corpus-based response automation methods for an e-mail-based help-desk domain
Computational Linguistics
Learning web query patterns for imitating Wikipedia articles
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Summarizing textual information about locations
Proceedings of the 2nd International Conference on Computing for Geospatial Research & Applications
A latent topic extracting method based on events in a document and its application
HLT-SS '11 Proceedings of the ACL 2011 Student Session
Analysis and synthesis of help-desk responses
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Filtering for profile-biased multi-document summarization
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Query based summarization using non-negative matrix factorization
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
A comparative study of information-gathering approaches for answering help-desk email inquiries
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Evaluating web search result summaries
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Exploring clustering for multi-document arabic summarisation
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization
Knowledge-Based Systems
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This paper introduces a statistical model for query-relevant summarization: succinctly characterizing the relevance of a document to a query. Learning parameter values for the proposed model requires a large collection of summarized documents, which we do not have, but as a proxy, we use a collection of FAQ (frequently-asked question) documents. Taking a learning approach enables a principled, quantitative evaluation of the proposed system, and the results of some initial experiments---on a collection of Usenet FAQs and on a FAQ-like set of customer-submitted questions to several large retail companies---suggest the plausibility of learning for summarization.