Monitoring Term Drift Based on Semantic Consistency in an Evolving Vector Field

Title:

Monitoring Term Drift Based on Semantic Consistency in an Evolving Vector Field

Access Right:

Closed Access

DOI:

10.1109/IJCNN.2015.7280766

Authors:

Peter Wittek, Sándor Darányi, Efstratios Kontopoulos, Theodoros Moysiadis, Ioannis Kompatsiaris

Keywords:

Access, Discovery

Contributor :

Efstratios Kontopoulos

Date:

15/03/2017

Metrics:

474 views , 8 Downloads
The paper presents key outcomes of the PERICLES project in the area of semantic drift and, more specifically, proposes a novel methodology for monitoring semantic drifts and for evaluating the semantic consistency of clusters of terms.

Publication Date

22/10/2015

Meeting/Conference it was published in

International Joint Conference on Neural Networks (IJCNN 2015), Killarney, Ireland, 12-17 July 2015

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