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» Evaluating machine learning for information extraction
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EMNLP
2008
15 years 1 months ago
Regular Expression Learning for Information Extraction
Regular expressions have served as the dominant workhorse of practical information extraction for several years. However, there has been little work on reducing the manual effort ...
Yunyao Li, Rajasekar Krishnamurthy, Sriram Raghava...
COLING
2010
14 years 6 months ago
Shallow Information Extraction from Medical Forum Data
We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, J...
CIKM
2005
Springer
15 years 5 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia
ECTEL
2011
Springer
13 years 11 months ago
Remote Collaborative Multi-user Informal Learning Experiences: Design and Evaluation
This paper presents a customizable system used to develop a collaborative multi-user problem solving game. It addresses the increasing demand for appealing informal learning experi...
Ernesto Arroyo, Valeria Righi, Roger Tarrago, Patr...
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
13 years 7 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum