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» Evaluating machine learning for information extraction
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EACL
2006
ACL Anthology
15 years 1 months ago
Automatic Acronym Recognition
This paper deals with the problem of recognizing and extracting acronymdefinition pairs in Swedish medical texts. This project applies a rule-based method to solve the acronym rec...
Dana Dannélls
ACL
2012
13 years 2 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ā€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
15 years 5 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
IJCNLP
2005
Springer
15 years 5 months ago
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizu...
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
15 years 5 months ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann