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Natural Language Processing | 2 |
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Chan, Samuel W. K. – Journal of Information Science, 2000
Discusses natural language processing and proposes a novel approach to automatic text segmentation using heterogeneous linguistic knowledge and cluster algorithms. Represents the diversity of textual relations in a discourse network in order to analyze the linguistic bonds and determine the degree of coherence that a text may exhibit. (Author/LRW)
Descriptors: Algorithms, Coherence, Information Retrieval, Linguistic Theory

Ding, Ying; Foo, Schubert – Journal of Information Science, 2002
Discusses the role of ontology in knowledge representation, including enabling content-based access, interoperability, communications, and new levels of service on the Semantic Web; reviews current ontology generation studies and projects as well as problems facing such research; and discusses ontology mapping, information extraction, natural…
Descriptors: Access to Information, Knowledge Representation, Natural Language Processing, Research Needs