Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
When researching new product ideas or filing new patents, inventors need to retrieve all relevant pre-existing know-how and/or to exploit and enforce patents in their technologica...
Milan Agatonovic, Niraj Aswani, Kalina Bontcheva, ...
Summarization of text documents is increasingly important with the amount of data available on the Internet. The large majority of current approaches view documents as linear sequ...
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
In this study, we describe our system at the Intellectual Property track of the 2009 CrossLanguage Evaluation Forum campaign (CLEF-IP). The CLEF-IP track addressed prior art searc...