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» A Machine Learning Approach to Information Extraction
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ICAIL
2009
ACM
14 years 13 days ago
Segmentation of legal documents
An overwhelming number of legal documents is available in digital form. However, most of the texts are usually only provided in a semi-structured form, i.e. the documents are stru...
Eneldo Loza Mencía
IJDMB
2010
216views more  IJDMB 2010»
13 years 6 months ago
Struct-NB: predicting protein-RNA binding sites using structural features
: We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound...
Fadi Towfic, Cornelia Caragea, David C. Gemperline...
SIGDIAL
2010
13 years 5 months ago
Towards an Empirically Motivated Typology of Follow-Up Questions: The Role of Dialogue Context
A central problem in Interactive Question Answering (IQA) is how to answer Follow-Up Questions (FU Qs), possibly by taking advantage of information from the dialogue context. We a...
Manuel Kirschner, Raffaella Bernardi
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
14 years 21 days ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano