Semantic Vector Encoding and Similarity Search Using Fulltext Search Engines

no code implementations • WS 2017 • Jan Rygl, Jan Pomik{\'a}lek, Radim {\v{R}}eh{\r{u}}{\v{r}}ek, Michal R{\r{u}}{\v{z}}i{\v{c}}ka, V{\'\i}t Novotn{\'y}, Petr Sojka

We empirically demonstrate its querying performance and quality by applying this solution to the task of semantic searching over a dense vector representation of the entire English Wikipedia.

Information Retrieval Representation Learning

Similarity Ranking as Attribute for Machine Learning Approach to Authorship Identification

no code implementations • LREC 2012 • Jan Rygl, Ale{\v{s}} Hor{\'a}k

In this paper, we present the results of an experiment to extend the machine learning attributes by ranking the similarity between a document and an author: we transform the similarity between an unknown document and one of the N authors to the order in which the author is the most similar to the document in the set of N authors.

Attribute BIG-bench Machine Learning +1