Skip to content

Latest commit

 

History

History
92 lines (79 loc) · 4.43 KB

File metadata and controls

92 lines (79 loc) · 4.43 KB

NLP

Named Entity Recognition (NER) - BILSTM

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
PAD 0,976923 0,976923 0,976923 130 0.06.21 CPU High 1 16 20
Disease 0,460432 0,450704 0,455516 142
Plant 0,854962 0,829630 0,842105 135
micro avg 0,757500 0,744472 0,750929 407
macro avg 0,764106 0,752419 0,758181 407
weighted avg 0,756268 0,744472 0,750289 407
F-1 Scores 75,10%

Predict

Sample number 2 of 131 (Test Set)
Word           ||True ||Pred
==============================
background     : O     O
and            : O     O
aims           : O     O
large          : O     O
scale          : O     O
epidemiological: O     O
studies        : O     O
have           : O     O
shown          : O     O
that           : O     O
drinking       : O     O
more           : O     O
than           : O     O
two            : O     O
cups           : O     O
of             : O     O
coffee         : plant plant
per            : O     O
day            : O     O
reduces        : O     O
the            : O     O
risks          : O     O
hepatitis      : disease disease
liver          : O     disease

Save output model as .hdf5

Other Content

Websites Prediction

Named Entity Recognition (NER)

Relation Extraction (RE)