Named Entity Recognition on Spanish (test)
86.3F1 ScoreMonolingual
Evaluation Results
| Method | Links | |
|---|---|---|
| Monolingualtraining_data=annotated target language2019.08 | 86.3 | |
| Xie et al. (2018)Emb. type=glove, Emb. dim=3002019.11 | 86.26 | |
| Lample et al. (2016)Emb. type=skip-ngram, Emb. dim=642019.11 | 85.75 | |
| Source-MonoEmb. type=fasttext, Emb. dim=3002019.11 | 84.71 | |
| Ours-simSource setting=Multi-source, Teacher Fusion=weighting teacher models with learned language similarities (Eq. 11)2020.04 | 78 | |
| Ours-avgSource setting=Multi-source, Teacher Fusion=averaging teacher models (Eq. 7)2020.04 | 77.75 | |
| Moon et al. (2019)Source setting=Multi-source, Note=freezing the bottom three layers of BERT_BASE2020.04 | 76.53 | |
| TMPBackbone=BiLSTM + CRF with self-attention2019.08 | 73.5 | |
| Chen et al. (2019)Source setting=Multi-source2020.04 | 73.5 | |
| BWETtranslation_type=word-by-word, lexicon=bilingual lexicon induced using monolingual corpora2019.08 | 72.4 | |
| Rahimi et al. (2019)Source setting=Multi-source2020.04 | 71.8 | |
| Co-decoding2019.08 | 65.1 | |
| fast-alignBackbone=BiLSTM + CRF with self-attention, alignment_algorithm=unsupervised expectation maximization2019.08 | 65 | |
| Polyglot-NER2019.08 | 63 | |
| Täckström (2012)Source setting=Multi-source2020.04 | 61.9 |