Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Lexical analysis and stoplists
Information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
New Methods in Automatic Extracting
Journal of the ACM (JACM)
OCELOT: a system for summarizing Web pages
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Extracting sentence segments for text summarization: a machine learning approach
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Creating and evaluating multi-document sentence extract summaries
Proceedings of the ninth international conference on Information and knowledge management
Automatically summarising Web sites: is there a way around it?
Proceedings of the ninth international conference on Information and knowledge management
Seeing the whole in parts: text summarization for web browsing on handheld devices
Proceedings of the 10th international conference on World Wide Web
Recent developments in text summarization
Proceedings of the tenth international conference on Information and knowledge management
Probabilistic question answering on the web
Proceedings of the 11th international conference on World Wide Web
Evaluating Natural Language Processing Systems: An Analysis and Review
Evaluating Natural Language Processing Systems: An Analysis and Review
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Using part-of-speech patterns to reduce query ambiguity
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Interactive Document Summarisation Using Automatically Extracted Keyphrases
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 4 - Volume 4
Enhanced web document summarization using hyperlinks
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
The TIPSTER SUMMAC Text Summarization Evaluation
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
From single to multi-document summarization: a prototype system and its evaluation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Query-relevant summarization using FAQs
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLPWorkshop on Automatic summarization - Volume 4
Machine and human performance for single and multidocument summarization
IEEE Intelligent Systems
Narrative text classification for automatic key phrase extraction in web document corpora
Proceedings of the 7th annual ACM international workshop on Web information and data management
Summary of FAQs from a topical forum based on the native composition structure
Expert Systems with Applications: An International Journal
Multi-document summarization of scientific corpora
Proceedings of the 2011 ACM Symposium on Applied Computing
Discovering filter keywords for company name disambiguation in twitter
Expert Systems with Applications: An International Journal
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Summaries of Web sites help Web users get an idea of the site contents without having to spend time browsing the sites. Currently, manually constructed summaries of Web sites by volunteer experts are available, such as the DMOZ Open Directory Project. This research is directed towards automating the Web site summarization task. To achieve this objective, an approach which applies machine learning and natural language processing techniques is developed to summarize a Web site automatically. The information content of the automatically generated summaries is compared, via a formal evaluation process involving human subjects, to DMOZ summaries, home page browsing and time-limited site browsing, for a number of academic and commercial Web sites. Statistical evaluation of the scores of the answers to a list of questions about the sites demonstrates that the automatically generated summaries convey the same information to the reader as DMOZ summaries do, and more information than the two browsing options.