Loading srl.py +2 −2 Original line number Diff line number Diff line Loading @@ -51,7 +51,7 @@ srl_pred = Predictor.from_path("https://s3-us-west-2.amazonaws.com/allennlp/mode 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']) verb_df = pd.DataFrame(columns=['arg', 'verb', 'same', 'id']) for i,r in data.iterrows(): t0 = time.time() Loading Loading @@ -81,7 +81,7 @@ for i,r in data.iterrows(): #names['nambias'] = namlabs_df.loc[verbs.index].bias.values verbs['same'] = namlabs_df.loc[verbs.index].bias.values == r.bias #print('verbs', verbs) verbs['s_id'] = [i] * len(verbs) verbs['id'] = [i] * len(verbs) verb_df = verb_df.append(verbs) print('Found {} verbs'.format(len(verbs))) print(verbs) Loading Loading
srl.py +2 −2 Original line number Diff line number Diff line Loading @@ -51,7 +51,7 @@ srl_pred = Predictor.from_path("https://s3-us-west-2.amazonaws.com/allennlp/mode 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']) verb_df = pd.DataFrame(columns=['arg', 'verb', 'same', 'id']) for i,r in data.iterrows(): t0 = time.time() Loading Loading @@ -81,7 +81,7 @@ for i,r in data.iterrows(): #names['nambias'] = namlabs_df.loc[verbs.index].bias.values verbs['same'] = namlabs_df.loc[verbs.index].bias.values == r.bias #print('verbs', verbs) verbs['s_id'] = [i] * len(verbs) verbs['id'] = [i] * len(verbs) verb_df = verb_df.append(verbs) print('Found {} verbs'.format(len(verbs))) print(verbs) Loading