A tensor encoding model of word meaning : theory and application to information retrieval
| Data(s) |
2013
|
|---|---|
| Resumo |
This project was a step forward in developing and evaluating a novel, mathematical model that can deduce the meaning of words based on their use in language. This model can be applied to a wide range of natural language applications, including the information seeking process most of us undertake on a daily basis. |
| Formato |
application/pdf text/xml |
| Identificador | |
| Publicador |
Queensland University of Technology |
| Relação |
http://eprints.qut.edu.au/60567/1/Michael_Symonds_Thesis.pdf http://eprints.qut.edu.au/60567/2/deposit Symonds, Michael J. (2013) A tensor encoding model of word meaning : theory and application to information retrieval. PhD thesis, Queensland University of Technology. |
| Fonte |
School of Information Systems; Science & Engineering Faculty |
| Palavras-Chave | #Meaning #Corpus-based #Semantic #Semantic Space Model #Information Retrieval #TE #TQE #tensor #syntagmatic #paradigmatic |
| Tipo |
Thesis |
