Learning word embedding using morphological knowledge
US10606946B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2015 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | Nov 30, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, a machine learning system may use morphological knowledge to enhance a deep learning framework for learning word embedding. The system may consider, among other things, morphological similarities between and among words in a learning process so as to handle new or rare words, edit distances, longest common substring similarities, morpheme similarities, and syllable similarities as morphological knowledge to build a relation matrix between or among words. The system may apply the deep learning framework to query classification, web search, text mining, information retrieval, and natural language processing tasks, for example. The system may accomplish such tasks with relatively high efficiency and speed, while utilizing less computing resources as compared to other systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.