Papers by Ana Valeria González-Garduño
Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing (N18-1)
Copied to clipboard
| Challenge: | a few researchers have shown that data traces from human processing can be used to improve NLP models. |
| Approach: | They propose to use data readily available for most languages to improve unsupervised induction . they find that english unsupervised POS induction achieves an error reduction of 1.5% . |
| Outcome: | The proposed model improves on Ontonotes domains with a word embeddings. |