The decomposition of human-written summary sentences
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the ninth international conference on Information and knowledge management
Optimizing search by showing results in context
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Context and Page Analysis for Improved Web Search
IEEE Internet Computing
The rhetorical parsing of natural language texts
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Abstract generation based on rhetorical structure extraction
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Learning-based summarisation of XML documents
Information Retrieval
“THAT’s what i was looking for”: comparing user-rated relevance with search engine rankings
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
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One factor that may affect whether users of technical support Web sites can rapidly find information relevant to their needs is the quality of the summary of documents returned as the result of search queries. This paper reports on two studies that were part of an effort to create high-quality machine-generated summaries for the presentation of search results for technical support documents. The initial study asked experts to compose document summaries. The results of the first study were used to guide the development of heuristics for generating programmatic summaries that were tested in the second study, which was a user evaluation that compared the effectiveness of four types of document summaries for search purposes: programmatic summaries based on selective sentence extraction using knowledge of the semantic structure of documents, a term-hits-in-context (THIC) summary, the current summaries on the company's live site, and document titles alone. This comparison sought to determine the techniques most likely to help users find information, hence increasing customer goal attainment and satisfaction. The implications of our results for summarizing technical support documents for search are discussed.