Generating summaries of multiple news articles
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Towards multidocument summarization by reformulation: progress and prospects
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Automatic text summarization based on the Global Document Annotation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Information fusion in the context of multi-document summarization
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Using coreference chains for text summarization
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
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Summarization of multiple documents featuring multiple topics is discussed. The example treated here consists of fifty articles about the Peru hostage incident for December 1996 through April 1997. They include a lot of topics such as opening, negotiation, ending, and so on. The method proposed in this paper is based on spreading activation over documents syntactically and scmantically annotated with GDA (Global Document Annotation) tags. The method extracts important documents and important parts therein, and creates a network consisting of important entities and relations among them. It also identifies cross-document coreferences to replace expressions with more concrete ones. The method is essentially multilingual due to the language-independence of the GDA tagset. This tagset can provide a standard format for the study on the transformation and/or generation stage of summarization process, among other natural language processing tasks.