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Multi-word Expression Identification on PARSEME EN 1.1 (test)

45.4Token F1-Scoreneural CRF tagger
33.64836.69939.7542.801Apr 30, 2020

Evaluation results

MethodLinks
neural CRF taggerEmbeddings=BERT + GloVe, POS/lemma constraints=Gold, Evaluation=Zero-shot2020.0445.436.145.540.340.252
neural CRF taggerEmbeddings=BERT + GloVe, POS/lemma constraints=None, Evaluation=Zero-shot2020.0445.436.245.340.340.451.8
BERTPOS/lemma constraints=Gold, zero-shot=true2020.0445.436.145.540.340.252
BERTPOS/lemma constraints=None, zero-shot=true2020.0445.436.245.340.340.451.8
neural CRF taggerEmbeddings=BERT + GloVe, POS/lemma constraints=Predicted, Evaluation=Zero-shot2020.0443.434.145.939.237.152.2
BERTPOS/lemma constraints=Predicted, zero-shot=true2020.0443.434.145.939.237.152.2
Rohanian et al.2020.0441.9—————
Taslimipoor et al.2020.0440.2—————
Rohanian+supervised=true2020.0440.2——41.9——
Nerima et al.2020.0434.433.832.733.337.331.8
Kirilin+supervised=true2020.0434.433.832.733.337.331.8
Kirilin et al.2020.0434.1——36——
Taslimipoor+supervised=true2020.04———36——