Unsupervised extraction of text segments from heterogeneous document collections

Proceedings of the ASIST Annual Meeting

Volumn 47, Issue , 2010, Pages

  Cui, Hong ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

Biodiversity document collections; Morphological description; Segment information retrieval; Semantic annotation; Unsupervised machine learning

Indexed keywords

EID: 84861441799     PISSN: None     EISSN: 15508390     Source Type: Journal    
DOI: 10.1002/meet.14504701355     Document Type: Conference Paper

References (3)

1. Beeferman, D., Berger, A., & Lafferty, J. (1999). Statistical models for text segmentation. Machine Learning, Special Issue on Natural Language Processing, 34, (1-3), 177-210.
2. Choi, F.Y.Y. (2000). Advances in domain independent linear text segmentation. Proceedings of the first conference on North American chapter of the Association for Computational Linguistics, pp. 26-33.
3. Cui, H., Boufford, D., & Selten, P. (2010). Semantic Annotation of Biosystematics Literature without Training Examples. Journal of American Society of Information Science and Technology. 61 (3): 522-542