CoNLL es
CoNLL nl
WNUT2017
Archeology

AnEM

OntoNotes

Table 9: Comparison between MultiHashEmbed with default number of rows and MultiEmbed
without pretrained embeddings distributed by spaCy. Results are reported on the test set.

22The complete results are presented in Table 17.

17

MultiHashEmbed

MultiEmbed

Precision
0.78±0.01
0.77±0.02
0.28±0.03
0.84±0.01
0.62±0.01
0.82±0.02

Recall
0.77±0.02
0.73±0.00
0.15±0.02
0.80±0.00
0.51±0.01
0.82±0.01

F1-score
0.78±0.02
0.75±0.03
0.19±0.01
0.81±0.01
0.56±0.01
0.82±0.01

Precision
0.77±0.01
0.77±0.00
0.29±0.00
0.82±0.00
0.56±0.02
0.81±0.02

Recall
0.77±0.01
0.74±0.01
0.14±0.01
0.78±0.01
0.36±0.03
0.81±0.01

F1-score
0.77±0.01
0.75±0.00
0.19±0.01
0.80±0.00
0.44±0.01
0.81±0.01

CoNLL es
CoNLL nl
WNUT2017
Archeology

AnEM

OntoNotes

Table 10: Comparison between MultiHashEmbed with adjusted number of
rows and
MultiEmbed without pretrained embeddings distributed by spaCy. Results are reported on the
test set.

MultiHashEmbed

MultiEmbed
MULTI HASH EMBEDDINGS IN SPACY