Loading srl.py +10 −1 Original line number Diff line number Diff line from allennlp.predictors.predictor import Predictor import pandas as pd import logging, re import time def load_nameslab(): namfn = 'data/names_labeled.csv' Loading Loading @@ -50,8 +50,11 @@ data = sent #.loc[11237:11243] srl_pred = Predictor.from_path("https://s3-us-west-2.amazonaws.com/allennlp/models/srl-model-2018.05.25.tar.gz") allen_ner = Predictor.from_path("https://s3-us-west-2.amazonaws.com/allennlp/models/ner-model-2018.12.18.tar.gz") times = [] verb_df = pd.DataFrame(columns=['arg', 'verb', 'same']) for i,r in data.iterrows(): t0 = time.time() names = ner(r.s) print('Processing: {}, {}'.format(i, r.s)) Loading Loading @@ -85,6 +88,12 @@ for i,r in data.iterrows(): verb_df.arg = verb_df.arg.str[2:] verb_df.to_csv('vdberg_output.csv') t1 = time.time() total_n = t1-t0 times.append(total_n) print('Took {} seconds'.format(sum(times)/len(times))) #grs = verb_df.groupby('same') #for n, gr in grs: # print(str(n).upper()) Loading Loading
srl.py +10 −1 Original line number Diff line number Diff line from allennlp.predictors.predictor import Predictor import pandas as pd import logging, re import time def load_nameslab(): namfn = 'data/names_labeled.csv' Loading Loading @@ -50,8 +50,11 @@ data = sent #.loc[11237:11243] srl_pred = Predictor.from_path("https://s3-us-west-2.amazonaws.com/allennlp/models/srl-model-2018.05.25.tar.gz") allen_ner = Predictor.from_path("https://s3-us-west-2.amazonaws.com/allennlp/models/ner-model-2018.12.18.tar.gz") times = [] verb_df = pd.DataFrame(columns=['arg', 'verb', 'same']) for i,r in data.iterrows(): t0 = time.time() names = ner(r.s) print('Processing: {}, {}'.format(i, r.s)) Loading Loading @@ -85,6 +88,12 @@ for i,r in data.iterrows(): verb_df.arg = verb_df.arg.str[2:] verb_df.to_csv('vdberg_output.csv') t1 = time.time() total_n = t1-t0 times.append(total_n) print('Took {} seconds'.format(sum(times)/len(times))) #grs = verb_df.groupby('same') #for n, gr in grs: # print(str(n).upper()) Loading