A prototype electronic encyclopedia
ACM Transactions on Information Systems (TOIS)
A text knowledge base from the AI handbook
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Informational zooming: an interaction model for the graphical access to text knowledge bases
SIGIR '87 Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrieval
Content oriented relations between text units—a structural model for hypertexts
HYPERTEXT '87 Proceedings of the ACM conference on Hypertext
Automatic abstracting by applying graphical techniques to semantic networks.
Automatic abstracting by applying graphical techniques to semantic networks.
Skimming stories in real time: an experiment in integrated understanding.
Skimming stories in real time: an experiment in integrated understanding.
A network-based approach to text handling for the on-line scientific community
A network-based approach to text handling for the on-line scientific community
COLING '86 Proceedings of the 11th coference on Computational linguistics
Forward and backward reasoning in automatic abstracting
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
Dynamic information and library processing
Dynamic information and library processing
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Structured answers for a large structured document collection
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
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A model of knowledge-based text condensation is presented which has been implemented as part of the text analysis system TOPIC. The condensation process transforms the text representation structures resulting from the text parse into a more abstract thematic description of what the text is about, filtering out irrelevant knowledge structures and preserving only the most salient concepts. The topical structure of a text, finally, is represented in a hierarchical text graph which supports variable degrees of abstraction for text summarization as well as content-oriented retrieval of text knowledge. Due to their non-linear organization, text graphs share a lot of similarities with hypertexts. Their contribution to this field incorporates a methodology for the automatic generation of hypertexts from given full-text files, a close coupling of basic hypertext notions (links, nodes) to the formal specifications of a frame representation model, and conceptual navigation and filtering facilities which allow a user-defined level of information granularity when accessing hypertext knowledge bases.