Sciweavers

2960 search results - page 17 / 592
» Learning from Multiple Sources
Sort
View
KDD
2002
ACM
96views Data Mining» more  KDD 2002»
15 years 10 months ago
A theoretical framework for learning from a pool of disparate data sources
Shai Ben-David, Johannes Gehrke, Reba Schuller
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
15 years 3 months ago
On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources
Machine learning techniques for data extraction from semistructured sources exhibit different precision and recall characteristics. However to date the formal relationship between...
Guizhen Yang, Saikat Mukherjee, I. V. Ramakrishnan
ICALT
2010
IEEE
14 years 10 months ago
Improve the Output from a MCQ Test Item Generator Using Statistical NLP
In this study I use statistical Natural Language Processing and adapted Controlled Language methods to preprocess individual documents before they are used as source documents for ...
Robert Michael Foster
VLDB
2002
ACM
126views Database» more  VLDB 2002»
14 years 9 months ago
ALIAS: An Active Learning led Interactive Deduplication System
Deduplication, a key operation in integrating data from multiple sources, is a time-consuming, labor-intensive and domainspecific operation. We present our design of alias that us...
Sunita Sarawagi, Anuradha Bhamidipaty, Alok Kirpal...
ACL
1996
14 years 11 months ago
Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach
In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge source...
Hwee Tou Ng, Hian Beng Lee