Attention, intentions, and the structure of discourse
Computational Linguistics
Analyzing the structure of argumentative discourse
Computational Linguistics
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Using multiple knowledge sources for word sense discrimination
Computational Linguistics
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Improving language models by clustering training sentences
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Intention-based segmentation: human reliability and correlation with linguistic cues
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Text segmentation based on similarity between words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Combining multiple knowledge sources for discourse segmentation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Estimating upper and lower bounds on the performance of word-sense disambiguation programs
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Word sense disambiguation and text segmentation based on lexical cohesion
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Automatic detection of discourse structure by checking surface information in sentences
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
A method for abstracting newspaper articles by using surface clues
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Language modeling with sentence-level mixtures
HLT '94 Proceedings of the workshop on Human Language Technology
Combining knowledge sources to reorder N-best speech hypothesis lists
HLT '94 Proceedings of the workshop on Human Language Technology
Domain-independent text segmentation using anisotropic diffusion and dynamic programming
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Topic segmentation with shared topic detection and alignment of multiple documents
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Text segmentation with LDA-based Fisher kernel
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Feature-based segmentation of narrative documents
FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing
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In general, a certain range of sentences in a text, is widely assumed to form a coherent unit which is called a discourse segment. Identifying the segment boundaries is a first step to recognize the structure of a text. In this paper, we describe a method for identifying segment boundaries of a Japanese text with the aid of multiple surface linguistic cues, though our experiments might be small-scale. We also present a method of training the weights for multiple linguistic cues automatically without the overfitting problem.