WordNet: a lexical database for English
Communications of the ACM
Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Discovering word senses from a network of lexical cooccurrences
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
On burstiness-aware search for document sequences
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Using three way data for word sense discrimination
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Using word sense discrimination on historic document collections
Proceedings of the 10th annual joint conference on Digital libraries
Automatic recognition of gait-related health problems in the elderly using machine learning
Multimedia Tools and Applications
Multimedia Tools and Applications
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Knowing about the evolution of a term can significantly help when searching for relevant information, especially in case of sudden evolutions (e.g. as of dramatical changes in political situations). Here, some terms get a completely new meaning or are used in new or different ways. In mobile situations it is important to be able to effectively retrieve information, since this is usually done in a hurry and interaction possibilities with mobile devices are limited. In this paper we describe a methodology using word sense discrimination to discover term evolution. We present two mobile interfaces for easy access and exploration of this evolution, as well as a user-study to show its usefulness. We conclude the paper with an outlook of further research possibilities in this new topic.