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Automatic text processing
TextTiling: A Quantitative Approach to Discourse
TextTiling: A Quantitative Approach to Discourse
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EACL '93 Proceedings of the sixth conference on European chapter of the Association for Computational Linguistics
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ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
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ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
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Machine Translation
A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
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Computational Linguistics
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Natural Language Engineering
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ACL '98 Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2
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COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
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MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
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NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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The paper presents a new approach to text segmentation - which concerns dividing a text into coherent discourse units. The approach builds on the theory of discourse segment (Nomoto and Nitta, 1993), incorporating ideas from the research on information retrieval (Salton, 1988). A discourse segment has to do with a structure of Japanese discourse; it could be thought of as a linguistic unit demarcated by wa, a Japanese topic particle, which may extend over several sentences. The segmentation works with discourse segments and makes use of coherence measure based on tf-idf, a standard information retrieval measurement (Salton, 1988; Hearst, 1993). Experiments have been done with a Japanese newspaper corpus. It has been found that the present approach is quite successful in recovering articles from the unstructured corpus.