Attention, intentions, and the structure of discourse
Computational Linguistics
Topic parsing: accounting for text macro structures in full-text analysis
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
Word association norms, mutual information, and lexicography
Computational Linguistics
Automatic text decomposition using text segments and text themes
Proceedings of the the seventh ACM conference on Hypertext
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Robust automated topic identification
Robust automated topic identification
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Discourse segmentation by human and automated means
Computational Linguistics
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
How to thematically segment texts by using lexical cohesion?
ACL '98 Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 2
Thematic segmentation of texts: two methods for two kinds of texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Text segmentation based on similarity between words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
An automatic method of finding topic boundaries
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
A grammatico-statistical approach to discourse partitioning
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Cohesion and collocation: using context vectors in text segmentation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
A statistical model for domain-independent text segmentation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Combining statistical data analysis techniques to extract topical keyword classes from corpora
Intelligent Data Analysis
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Topic analysis is important for many applications dealing with texts, such as text summarization or information extraction. However, it can be done with great precision only if it relies on structured knowledge, which is difficult to produce on a large scale. In this paper, we propose using bootstrapping to solve this problem: a first topic analysis based on a weakly structured source of knowledge, a collocation network, is used for learning explicit topic representations that then support a more precise and reliable topic analysis.