Papers with transformer-based neural network architecture
Cross-lingual Named Entity Corpus for Slavic Languages (2024.lrec-main)
Copied to clipboard
| Challenge: | This work presents a corpus manually annotated with named entities for six Slavic languages . |
| Approach: | They propose to manually annotate a corpus of names for six Slavic languages . they use a transformer-based neural network architecture to train multilingual models . |
| Outcome: | The corpus consists of 5,017 documents on seven topics . each entity is described by a category, a lemma, and a unique cross-lingual identifier. |