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NLP

Named Entity Recognition (NER) - BILSTM - CRF

Slamet Riyanto S.Kom., M.M.S.I.

Dimas Dwi Putra

Architecture

Sentence # Word POS Tag
Sentence: 0 studies NNS O
Sentence: 0 on IN O
Sentence: 0 magnesium NN O
Sentence: 0 s NN O
Sentence: 0 mechanism NN O
Sentence: 0 of IN O
Sentence: 0 action NN O
Sentence: 0 in IN O
Sentence: 0 digitalis NN B-plant
Sentence: 0 induced VBD O
Sentence: 0 arrhythmias NNS B-disease
...
Entities precision recall f1-score support excecution time processor ram model batch size epochs embedding Length Uji
PAD 1,000000 1,000000 1,000000 131 4.49.57 cpu high 2 16 40 128 3000 7
Disease 0,774775 0,623188 0,690763 140
Plant 0,892857 0,892857 0,892857 135
micro avg 0,895288 0,836186 0,864728 406
macro avg 0,889211 0,838682 0,861207 406
weighted avg 0,887332 0,836186 0,858986 406
F-1 Scores 86,5%

Predict

Word           ||True ||Pred
==============================
the            : O     O
mutagen        : O     O
sensitivity    : O     O
assay          : O     O
msa            : O     O
a              : O     O
phenotypic     : O     O
marker         : O     O
of             : O     O
dna            : O     O
damage         : O     O
response       : O     O
and            : O     O
repair         : O     O
capacity       : O     O
has            : O     O
been           : O     O
consistently   : O     O
shown          : O     O
to             : O     O
associate      : O     O
with           : O     O
risk           : O     O
tobacco        : plant plant
related        : O     O
cancers        : disease disease

Save model output as .hdf5

Other Content

Websites Prediction

Named Entity Recognition (NER)

Relation Extraction (RE)