Cooperation and Coordination of Information and Communication Services at German Universities
Proceedings of the The 7th International Conference of European University Information Systems on The Changing Universities - The Role of Technology
The Journal of Machine Learning Research
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Semantic density analysis: comparing word meaning across time and phonetic space
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
Visualization of linguistic patterns and uncovering language history from multilingual resources
EACL 2012 Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH
Lexical semantics and distribution of suffixes: a visual analysis
EACL 2012 Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH
Looking at word meaning: an interactive visualization of semantic vector spaces for Dutch synsets
EACL 2012 Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH
EACL 2012 Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH
Mining semantics for culturomics: towards a knowledge-based approach
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing
Hi-index | 0.00 |
This paper presents a new approach to detecting and tracking changes in word meaning by visually modeling and representing diachronic development in word contexts. Previous studies have shown that computational models are capable of clustering and disambiguating senses, a more recent trend investigates whether changes in word meaning can be tracked by automatic methods. The aim of our study is to offer a new instrument for investigating the diachronic development of word senses in a way that allows for a better understanding of the nature of semantic change in general. For this purpose we combine techniques from the field of Visual Analytics with unsupervised methods from Natural Language Processing, allowing for an interactive visual exploration of semantic change.