Papers with robust Hangeul word embedding model
Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings (2021.eacl-main)
Copied to clipboard
| Challenge: | Word embedding is considered an essential factor in improving the performance of various Natural Language Processing (NLP) models. |
| Approach: | They propose a Hangeul word embedding model that infers original word embeds from typos while maintaining high performance. |
| Outcome: | The proposed model performs well against typos while maintaining high performance. |