Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
Organizing encyclopedic knowledge based on the web and its application to question answering
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Producing biographical summaries: combining linguistic knowledge with corpus statistics
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Evaluating answers to definition questions
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Cyclone: an encyclopedic web search site
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Acquiring an ontology for a fundamental vocabulary
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Automatically generating Wikipedia articles: a structure-aware approach
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Learning web query patterns for imitating Wikipedia articles
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Finding instance names and alternative glosses on the web: wordnet reloaded
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
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We are developing an automatic method to compile an encyclopedic corpus from the Web. In our previous work, paragraph-style descriptions for a term are extracted from Web pages and organized based on domains. However, these descriptions are independent and do not comprise a condensed text as in hand-crafted encyclopedias. To resolve this problem, we propose a summarization method, which produces a single text from multiple descriptions. The resultant summary concisely describes a term from different viewpoints. We also show the effectiveness of our method by means of experiments.