List your company

Named Entity Recognition on Spanish (test)

86.3F1 ScoreMonolingual
60.92467.51274.180.688Aug 31, 2019Oct 9, 2019Nov 18, 2019Dec 28, 2019Feb 6, 2020Mar 17, 2020Apr 26, 2020

Evaluation results

MethodLinks
Monolingualtraining_data=annotated target language2019.0886.3
Xie et al. (2018)Emb. type=glove, Emb. dim=3002019.1186.26
Lample et al. (2016)Emb. type=skip-ngram, Emb. dim=642019.1185.75
Source-MonoEmb. type=fasttext, Emb. dim=3002019.1184.71
Ours-simSource setting=Multi-source, Teacher Fusion=weighting teacher models with learned language similarities (Eq. 11)2020.0478
Ours-avgSource setting=Multi-source, Teacher Fusion=averaging teacher models (Eq. 7)2020.0477.75
Moon et al. (2019)Source setting=Multi-source, Note=freezing the bottom three layers of BERT_BASE2020.0476.53
TMPBackbone=BiLSTM + CRF with self-attention2019.0873.5
Chen et al. (2019)Source setting=Multi-source2020.0473.5
BWETtranslation_type=word-by-word, lexicon=bilingual lexicon induced using monolingual corpora2019.0872.4
Rahimi et al. (2019)Source setting=Multi-source2020.0471.8
Co-decoding2019.0865.1
fast-alignBackbone=BiLSTM + CRF with self-attention, alignment_algorithm=unsupervised expectation maximization2019.0865
Polyglot-NER2019.0863
Täckström (2012)Source setting=Multi-source2020.0461.9