Subtopic structuring for full-length document access
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Chinese text segmentation for text retrieval: achievements and problems
Journal of the American Society for Information Science
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
ECDL '97 Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries
Text Segmentation for Efficient Information Retrieval
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
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
Topic segmentation: algorithms and applications
Topic segmentation: algorithms and applications
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
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Un outil multidimensionnel de l'analyse du discours
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A heuristic method based on a statistical approach for Chinese text segmentation
Journal of the American Society for Information Science and Technology
Text segmentation based on document understanding for information retrieval
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Text segmentation by clustering cohesion
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
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The goal of this paper is to demonstrate that usual evaluation methods for text segmentation are not adapted for every task linked to text segmentation. To do so we differentiated the task of finding text boundaries in a corpus of concatenated texts from the task of finding transitions between topics inside the same text. We worked on a corpus of twenty two French political discourses trying to find boundaries between them when they are concatenated, and to find topic boundaries inside them when they are not. We compared the results of our distance based method to the well known c99 algorithm.