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» Domain adaptation of information extraction models
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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
ISVC
2010
Springer
13 years 5 months ago
Analysis of Time Domain Information for Footstep Recognition
This paper reports an experimental analysis of footsteps as a biometric. The focus here is on information extracted from the time domain of signals collected from an array of piezo...
Rubén Vera-Rodríguez, John S. D. Mas...
IAT
2010
IEEE
13 years 5 months ago
Trustworthiness Tendency Incremental Extraction Using Information Gain
Computational trust systems are getting popular in several domains such as social networks, grid computing and business-to-business systems. However, the estimation of the trustwo...
Joana Urbano, Ana Paula Rocha, Eugenio Oliveira
EMNLP
2010
13 years 5 months ago
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
Named-entity recognition (NER) is an important task required in a wide variety of applications. While rule-based systems are appealing due to their well-known "explainability...
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao ...
CIKM
2005
Springer
14 years 1 months ago
Predicting accuracy of extracting information from unstructured text collections
Exploiting lexical and semantic relationships in large unstructured text collections can significantly enhance managing, integrating, and querying information locked in unstructur...
Eugene Agichtein, Silviu Cucerzan