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AAAI
2010
15 years 3 months ago
Temporal Information Extraction
Research on information extraction (IE) seeks to distill relational tuples from natural language text, such as the contents of the WWW. Most IE work has focussed on identifying st...
Xiao Ling, Daniel S. Weld
COLING
2008
15 years 3 months ago
Extractive Summarization Using Supervised and Semi-Supervised Learning
It is difficult to identify sentence importance from a single point of view. In this paper, we propose a learning-based approach to combine various sentence features. They are cat...
Kam-Fai Wong, Mingli Wu, Wenjie Li
ICAD
2004
15 years 3 months ago
Selective and Divided Attention: Extracting Information from Simultaneous Sound Sources
The way in which sounds interact and interfere with each other (both acoustically and perceptually) has an important influence on how well an auditory display can convey informati...
Barbara G. Shinn-Cunningham, Antje Ihlefeld
SEMCO
2008
IEEE
15 years 8 months ago
Extracting and Exploring the Geo-Temporal Semantics of Textual Resources
Geo-temporal criteria are important for filtering, grouping and prioritizing information resources. This presents techniques for extracting semantic geo-temporal information from ...
Bruno Martins, Hugo Manguinhas, José Luis B...
ACL
2004
15 years 3 months ago
Dependency Tree Kernels for Relation Extraction
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel within a Support Vector Machine, we detect and clas...
Aron Culotta, Jeffrey S. Sorensen