Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
Despite of the importance of lexical resources for a number of NLP applications (Machine Translation, Information Extraction, Event Detection and Tracking, Question Answering, amo...
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
Two competing encoding concepts are known to scale well with growing amounts of XML data: XPath Accelerator encoding implemented by MonetDB for in-memory documents and X-Hive’s ...
Abstract. XML provides a natural mechanism for representing semistructured and unstructured data. It becomes the basis for encoding a large variety of information, for example, the...