Loading srl.py +1 −3 Original line number Diff line number Diff line Loading @@ -45,7 +45,6 @@ sent = pd.read_csv('data/sent_df.csv') sent = sent[sent.s.apply(crude_ner) == True] data = sent[:50] 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") Loading @@ -54,7 +53,7 @@ logging.basicConfig(filename='vdberg_log.log',level=logging.DEBUG) verb_df = pd.DataFrame(columns=['arg', 'verb', 'same']) for i,r in data.iterrows(): names = ner(r.s) print('Predicting NER for {}: {}'.format(i, r.s)) #print('Predicting NER for {}: {}'.format(i, r.s)) logging.info('Predicting NER for {}: {}'.format(i, r.s)) roles = srl_pred.predict(sentence=r.s)['verbs'] Loading Loading @@ -83,7 +82,6 @@ for i,r in data.iterrows(): verbs['same'] = namlabs_df.loc[verbs.index].bias.values == r.bias #print('verbs', verbs) verb_df = verb_df.append(verbs) print(verb_df) verb_df.arg = verb_df.arg.str[2:] verb_df.to_csv('vdberg_output.csv') Loading Loading
srl.py +1 −3 Original line number Diff line number Diff line Loading @@ -45,7 +45,6 @@ sent = pd.read_csv('data/sent_df.csv') sent = sent[sent.s.apply(crude_ner) == True] data = sent[:50] 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") Loading @@ -54,7 +53,7 @@ logging.basicConfig(filename='vdberg_log.log',level=logging.DEBUG) verb_df = pd.DataFrame(columns=['arg', 'verb', 'same']) for i,r in data.iterrows(): names = ner(r.s) print('Predicting NER for {}: {}'.format(i, r.s)) #print('Predicting NER for {}: {}'.format(i, r.s)) logging.info('Predicting NER for {}: {}'.format(i, r.s)) roles = srl_pred.predict(sentence=r.s)['verbs'] Loading Loading @@ -83,7 +82,6 @@ for i,r in data.iterrows(): verbs['same'] = namlabs_df.loc[verbs.index].bias.values == r.bias #print('verbs', verbs) verb_df = verb_df.append(verbs) print(verb_df) verb_df.arg = verb_df.arg.str[2:] verb_df.to_csv('vdberg_output.csv') Loading