Papers by Lizzy Brans
SimLex-999 for Dutch (2024.lrec-main)
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| Challenge: | Word embeddings have revolutionised natural language processing by effectively representing words as dense vectors. |
| Approach: | They developed a Dutch variant of the SimLex-999 word similarity dataset by gathering similarity judgements from 235 native Dutch speakers. |
| Outcome: | The proposed model outperforms Bertje and RobBERT in terms of human similarity ratings and better represents semantic similarities between words. |