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ACL
2006
15 years 8 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang
ICAD
2004
15 years 8 months ago
Reeds: A Responsive Sound Installation
This paper discusses the responsive sound installation Reeds. The Melbourne International Festival of the Arts commissioned the Reeds project in 2000, for exhibition on the Orname...
Garth Paine
PDPTA
2004
15 years 8 months ago
On-demand Grid Storage Using Scavenging
Increasingly scientific discoveries are driven by analyses of massively distributed bulk data. This has led to the proliferation of high-end mass storage systems, storage area clu...
Sudharshan Vazhkudai
NAACL
2003
15 years 8 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith
208
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ACL
1998
15 years 8 months ago
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
Ken Samuel, Sandra Carberry, K. Vijay-Shanker