Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
eResponder: Electronic Question Responder
CooplS '02 Proceedings of the 7th International Conference on Cooperative Information Systems
Automatic evaluation of summaries using N-gram co-occurrence statistics
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Query-relevant summarization using FAQs
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Automatic question answering using the web: Beyond the Factoid
Information Retrieval
A formal model for information selection in multi-sentence text extraction
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
WordNet: similarity - measuring the relatedness of concepts
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
The design, implementation, and use of the Ngram statistics package
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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
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We present a comparative study of corpus-based methods for the automatic synthesis of email responses to help-desk requests. Our methods were developed by considering two operational dimensions: (1) information-gathering technique, and (2) granularity of the information. In particular, we investigate two techniques – retrieval and prediction – applied to information represented at two levels of granularity – sentence level and document level. We also developed a hybrid method that combines prediction with retrieval. Our results show that the different approaches are applicable in different situations, addressing a combined 72% of the requests with either complete or partial responses.