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IJCAI
2003
13 years 9 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
IPM
2007
123views more  IPM 2007»
13 years 7 months ago
Generating gene summaries from biomedical literature: A study of semi-structured summarization
Most knowledge accumulated through scientific discoveries in genomics and related biomedical disciplines is buried in the vast amount of biomedical literature. Since understandin...
Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, Chengxia...
APWEB
2008
Springer
13 years 9 months ago
Mining, Ranking, and Using Acronym Patterns
Techniques for being able to automatically identify acronym patterns are very important for enhancing a multitude of applications that rely upon search. This task is challenging, d...
Xiaonan Ji, Gu Xu, James Bailey, Hang Li
TASLP
2010
169views more  TASLP 2010»
13 years 2 months ago
Integration of Statistical Models for Dictation of Document Translations in a Machine-Aided Human Translation Task
Abstract--This paper presents a model for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text t...
Aarthi Reddy, Richard C. Rose
RIAO
2000
13 years 9 months ago
Discovering and Comparing Topic Hierarchies
Hierarchies have been used for organization, summarization, and access to information, yet a lingering issue is how best to construct them. In this paper, our goal is to automatic...
Dawn Lawrie, W. Bruce Croft