We introduce Incremental Semantic Analysis, a fully incremental word space model and we test it on longitudinal child-directed speech data. On this task, our model outperforms the related Random Indexing algorithm, as well as a SVD-based technique.
Titolo: | ISA meets Lara: An incremental word space model for cognitively plausible simulations of semantic learning | |
Autori interni: | ||
Anno del prodotto: | 2007 | |
Abstract: | We introduce Incremental Semantic Analysis, a fully incremental word space model and we test it on longitudinal child-directed speech data. On this task, our model outperforms the related Random Indexing algorithm, as well as a SVD-based technique. | |
Handle: | http://hdl.handle.net/11568/112529 | |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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