Oct 19, 2013 · To compute similarity, we adapt the Jaccard metric to use Named Entities. This re- sults in an unsupervised and computationally inexpensive way ...

In this paper, we describe our approach to the Search and Hyperlinking task at the MediaEval 2013 benchmark. This task focuses on video retrieval and ...

Bibliographic details on Ghent University-iMinds at MediaEval 2013: An Unsupervised Named Entity-based Similarity Measure for Search and Hyperlinking.

Ghent University-iMinds at MediaEval 2013: an unsupervised named entity-based similarity measure for search and hyperlinking. Tom De Nies, Wesley De Neve ...

Wesley De Neve Erik Mannens. Ghent University-iMinds at MediaEval 2013: An Unsupervised Named Entity-based Similarity Measure for Search and Hyperlinking.

In this paper, we investigate challenges related to the adaptation of similarity measures used in the field of Information Retrieval to work with semantic ...

Ghent University-iMinds at MediaEval 2013: An Unsupervised Named Entity-based Similarity Measure for Search and Hyperlinking. T De Nies, W De Neve, E Mannens ...

Ghent University-iMinds at MediaEval 2013: An Unsupervised Named Entity-based Similarity Measure for Search and Hyperlinking. view. electronic edition @ ceur ...

Ghent University-iMinds at MediaEval 2013: An Unsupervised Named Entity-based Similarity Measure for Search and Hyperlinking · Computer Science. MediaEval · 2013.

Ghent university-iminds at MediaEval 2013: An unsupervised named entity-based similarity measure for search and hyperlinking. Article. Jan 2013.