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» Evaluating machine learning for information extraction
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GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
15 years 5 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
CIKM
2008
Springer
15 years 6 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
ICASSP
2010
IEEE
15 years 4 months ago
Summarization- and learning-based approaches to information distillation
Information distillation is the task that aims to extract relevant passages of text from massive volumes of textual and audio sources, given a query. In this paper, we investigate...
Boriska Toth, Dilek Hakkani-Tür, Sibel Yaman
WWW
2007
ACM
16 years 5 months ago
Extraction and search of chemical formulae in text documents on the web
Often scientists seek to search for articles on the Web related to a particular chemical. When a scientist searches for a chemical formula using a search engine today, she gets ar...
Bingjun Sun, Qingzhao Tan, Prasenjit Mitra, C. Lee...
ICML
2005
IEEE
16 years 5 months ago
Generalized skewing for functions with continuous and nominal attributes
This paper extends previous work on skewing, an approach to problematic functions in decision tree induction. The previous algorithms were applicable only to functions of binary v...
Soumya Ray, David Page