Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Generating summaries of multiple news articles
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic condensation of electronic publications by sentence selection
Information Processing and Management: an International Journal - Special issue: summarizing text
Information Processing and Management: an International Journal - Special issue: history of information science
Exploring the similarity space
ACM SIGIR Forum
Summarizing Similarities and Differences Among Related Documents
Information Retrieval
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Experiments with open-domain textual Question Answering
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Anaphora for everyone: pronominal anaphora resoluation without a parser
COLING '96 Proceedings of the 16th 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
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLPWorkshop on Automatic summarization - Volume 4
A common theory of information fusion from multiple text sources step one: cross-document structure
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Recognizing referential links: an information extraction perspective
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
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This paper describes a fully implemented system for fusing related news stories into a single comprehensive description of an event. The basic components and the underlying algorithm are explained. The system uses a computationally feasible and robust notion of entailment for comparing information stemming from different documents. We discuss the issue of evaluating document fusion and provide some preliminary results.