Sentiment Tagging with Partial Labels using Modular Architectures
Table 5: Comparing our models with several state-of-the-art systems on the CoNLL 2003 English NER dataset.
['Model', 'English']
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.