Sentiment Tagging with Partial Labels using Modular Architectures
Table 6: Comparing our models with recent results on the 2002 CoNLL Dutch and Spanish NER datasets.
['Model', 'Dutch', 'Spanish']
A3SS0SSS0Px2 Results on NER For Dutch and Spanish, we used cross-lingual embedding as a way to exploit lexical information. The results are shown in Tab. Our best-performing model outperform all the competing systems.