Named Entity Recognition in the Romanian Legal Domain
Vasile Păiș, Maria Mitrofan, Carol Luca Gasan, Vlad Silviu Coneschi, Alexandru Ianov · 2021
Recognition of named entities present in text is an important step towards information extraction and natural language understanding.This work presents a named entity recognition system for the Romanian legal domain.The system makes use of the gold annotated Legal-NERo corpus.Furthermore, the system combines multiple distributional representations of words, including word embeddings trained on a large legal domain corpus.All the resources, including the corpus, model and word embeddings are open sourced.Finally, the best system is available for direct usage in the RE-LATE platform.