Zero-Resource Cross-Lingual Named Entity Recognition

22 Nov 2019M Saiful BariShafiq JotyPrathyusha Jwalapuram

Recently, neural methods have achieved state-of-the-art (SOTA) results in Named Entity Recognition (NER) tasks for many languages without the need for manually crafted features. However, these models still require manually annotated training data, which is not available for many languages... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Low Resource Named Entity Recognition CONLL 2003 Dutch Zero-Resource Transfer From CoNLL-2003 English dataset. F1 score 74.61 # 1
Low Resource Named Entity Recognition CONLL 2003 German Zero-Resource Transfer From CoNLL-2003 English dataset. F1 score 65.24 # 1
Low Resource Named Entity Recognition Conll 2003 Spanish Zero-Resource Cross-lingual Transfer From CoNLL-2003 English dataset. F1 score 75.93 # 1

Methods used in the Paper


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