Open Access

Table 1

Macro-F1 of monolingual low-resource NER (unit:%)

Level Method En Es Avg
200 Gold-Only 19.85/10.28 39.62/32.25 29.74/21.27
MELM 56.01/50.70 66.43/62.33 61.22/56.52
EPT* 49.96/43.88 63.06/58.54 56.51/51.21
EPT 56.80/51.58 68.92/65.12 62.86/58.35
400 Gold-Only 47.84/41.47 61.45/56.69 54.65/49.08
MELM 54.22/48.64 70.76/67.18 62.49/57.91
EPT* 71.68/68.28 69.10/65.31 70.39/66.80
EPT 62.53/57.98 74.18/71.03 68.36/64.51
600 Gold-Only 61.80/57.15 64.74/60.39 63.27/58.77
MELM 73.45/70.28 74.55/71.44 74.00/70.86
EPT* 74.87/71.89 68.69/64.82 71.77/68.36
EPT 75.30/72.38 75.15/72.12 75.23/72.25
800 Gold-Only 75.73/72.84 67.29/63.24 71.51/68.04
MELM 79.74/77.32 73.59/70.47 76.67/73.90
EPT* 80.14/77.77 79.79/77.33 79.97/77.55
EPT 79.67/77.24 79.94/77.50 79.81/77.37

Note:   En and Es mean English data and Spanish data. The numbers separa-ted by slashes represent macro-F1 scores with and without non-entity class, respectively. EPT initializes the weights of the embedding layers with special words, such as "location" for "B-LOC" and "I-LOC", while EPT* initializes them with random values

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