Papers by Maria Pyykönen
A Broad-coverage Corpus for Finnish Named Entity Recognition (2020.lrec-1)
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| Challenge: | Named entity recognition (NER) is a fundamental task in natural language processing (NLP). |
| Approach: | They propose to annotate Finnish named entity names using a new corpus built on the Universal Dependencies corpus. |
| Outcome: | The new annotation identifies over 10,000 mentions and maintains compatibility with a previously released single-domain corpus for Finnish NER. |