Functions — github.com/Pelhans/ZNLP

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Functions130 in github.com/Pelhans/ZNLP

⨍ Functions 130◇ Types & classes 19

↓ 18 callersMethodrun

Run total dataset

lexical_analysis/nnetwork/model/net_work.py:85

↓ 15 callersMethodadd

(self, n, values=[])

dependency/utils/general_utils.py:197

↓ 12 callersFunctionrandom_uniform_initializer

(shape, name, val, trainable=True)

dependency/bin/params_init.py:5

↓ 6 callersFunctiondump_pickle

(data, path)

dependency/utils/general_utils.py:74

↓ 6 callersMethodget_child_by_index_and_depth

(self, token, index, direction, depth)

dependency/utils/feature_extraction.py:197

↓ 6 callersFunctionget_pickle

(path)

dependency/utils/general_utils.py:69

↓ 6 callersMethodupdate

Updates the progress bar. # Arguments current: Index of current step. values: List of tuples (name, value_for

dependency/utils/general_utils.py:118

↓ 5 callersMethodcompute_dependencies

(self, sess, data, dataset)

dependency/bin/parser_model.py:255

↓ 5 callersMethodget_UAS

(self, data)

dependency/bin/parser_model.py:327

↓ 5 callersFunctionhighlight_string

(temp)

dependency/bin/parser_model.py:406

↓ 5 callersFunctionminibatch

(data, minibatch_idx)

dependency/utils/general_utils.py:55

↓ 5 callersFunctionprocessToken

(token, collect, out, endn)

tools/get_cws_file.py:16

↓ 4 callersMethodpredict

首先将一个sentence根据标点和英文符号/字符串划分成多个片段text，然后对每一个片段做词性标注。

lexical_analysis/nnetwork/predict.py:48

↓ 4 callersFunctionxavier_initializer

(shape, name, trainable=True)

dependency/bin/params_init.py:12

↓ 3 callersFunctionget_vocab_dict

(items)

dependency/utils/general_utils.py:79

↓ 3 callersFunctionload_datasets

(list_word, list_pos, load_file = True, load_existing_dump=False)

dependency/utils/feature_extraction.py:566

↓ 3 callersMethodread_data

(self, data_lines)

dependency/utils/feature_extraction.py:545

↓ 3 callersMethodreset_to_initial_state

(self)

dependency/utils/feature_extraction.py:261

↓ 3 callersFunctionshow_result

(tags)

lexical_analysis/nnetwork/predict.py:90

↓ 3 callersMethodtagging

(self, text, sen_words, id2tag, len_sen)

lexical_analysis/nnetwork/predict.py:72

↓ 2 callersMethodadd_embedding

(self)

dependency/bin/parser_model.py:70

↓ 2 callersMethodbi_lstm

build the bi-LSTMs network. Return the y_pred

lexical_analysis/nnetwork/model/net_work.py:33

↓ 2 callersMethodcreate_feed_dict

(self, inputs_batch, labels_batch=None, keep_prob=1)

dependency/bin/parser_model.py:44

↓ 2 callersMethodcreate_feed_dict

(self, inputs_batch, labels_batch=None)

dependency/bin/base_model.py:17

↓ 2 callersMethodextract_for_current_state

(self, sentence, word2idx, pos2idx, dep2idx, idx2dep)

dependency/utils/feature_extraction.py:443

↓ 2 callersMethodget_legal_labels

(self)

dependency/utils/feature_extraction.py:213

↓ 2 callersFunctionhighlight_string

(temp)

znlp/dparser.py:26

↓ 2 callersFunctionhighlight_string

(temp)

dependency/bin/parser_test.py:23

↓ 2 callersMethodlstm_cell

(self)

lexical_analysis/nnetwork/model/net_work.py:29

↓ 2 callersFunctionmerge_cws

(cws_tag)

lexical_analysis/nnetwork/pipeline/pipeline.py:47

↓ 2 callersMethodread_conll

(self, token_lines)

dependency/utils/feature_extraction.py:512

↓ 2 callersFunctionread_list

(list_str)

lexical_analysis/nnetwork/utils/get_pkl.py:86

↓ 2 callersMethodupdate_child_dependencies

(self, curr_transition)

dependency/utils/feature_extraction.py:180

↓ 2 callersMethodupdate_state_by_transition

(self, transition, gold=True)

dependency/utils/feature_extraction.py:242

↓ 2 callersFunctionvisualize_sample_embeddings

(sess, log_dir, words, word2idx, embeddings)

dependency/utils/tf_utils.py:8

↓ 1 callersMethodadd_accuracy_op

(self, pred)

dependency/bin/base_model.py:29

↓ 1 callersMethodadd_cube_prediction_op

(self)

dependency/bin/parser_model.py:99

↓ 1 callersMethodadd_loss_op

(self, pred)

dependency/bin/base_model.py:25

↓ 1 callersMethodadd_placeholders

(self)

dependency/bin/base_model.py:13

↓ 1 callersMethodadd_training_op

(self, loss)

dependency/bin/base_model.py:33

↓ 1 callersMethodanalyze

Return a list of three string output:cws, pos, ner

lexical_analysis/nnetwork/pipeline/pipeline.py:31

↓ 1 callersMethodbias_variable

Create a bias variable with appropriate initialization.

lexical_analysis/nnetwork/model/net_work.py:24

↓ 1 callersMethodbuild

(self)

dependency/bin/base_model.py:58

↓ 1 callersFunctionbuild_dict

(df_data)

lexical_analysis/nnetwork/utils/get_pkl.py:44

↓ 1 callersMethodbuild_embedding_matrix

(self)

dependency/utils/feature_extraction.py:349

↓ 1 callersMethodbuild_vocab

(self)

dependency/utils/feature_extraction.py:303

↓ 1 callersMethodclear_children_info

(self)

dependency/utils/feature_extraction.py:270

↓ 1 callersMethodclear_prediction_dependencies

(self)

dependency/utils/feature_extraction.py:266

↓ 1 callersMethodconvert_data_to_ids

(self)

dependency/utils/feature_extraction.py:385

↓ 1 callersMethodcreate_instances_for_data

(self, data, word2idx, pos2idx, dep2idx, idx2dep)

dependency/utils/feature_extraction.py:469

↓ 1 callersFunctiondecode

(cfg, y_pred, id2tag)

lexical_analysis/nnetwork/utils/decode.py:13

↓ 1 callersMethodextract_children_from_stack

(self, sentence, num_stack_words=2)

dependency/utils/feature_extraction.py:420

↓ 1 callersMethodextract_from_stack_and_buffer

(self, sentence, num_words=3)

dependency/utils/feature_extraction.py:409

↓ 1 callersMethodfit

(self, sess, saver, config, dataset, train_writer, valid_writer, merged)

dependency/bin/parser_model.py:380

↓ 1 callersFunctionget_dict

(filename)

lexical_analysis/nnetwork/utils/get_pkl.py:25

↓ 1 callersFunctionget_minibatches

Iterates through the provided data one minibatch at at time. You can use this function to iterate through data in minibatches as follows:

dependency/utils/general_utils.py:7

↓ 1 callersMethodget_transition_from_current_state

(self)

dependency/utils/feature_extraction.py:223

↓ 1 callersFunctionget_zy

(ltags)

lexical_analysis/nnetwork/utils/get_pkl.py:89

↓ 1 callersMethodl2_loss_sum

(self, tvars)

dependency/bin/parser_model.py:198

↓ 1 callersFunctionmain

(argc, argv)

tools/get_cws_file.py:92

↓ 1 callersFunctionmain

Code for PFR2014

tools/pre_merge14.py:11

↓ 1 callersFunctionmain

()

lexical_analysis/nnetwork/predict.py:97

↓ 1 callersFunctionmain

()

lexical_analysis/nnetwork/pipeline/pipeline.py:66

↓ 1 callersFunctionmain

()

znlp/dparser.py:79

↓ 1 callersFunctionmain

(flag, load_existing_dump=True)

dependency/bin/parser_model.py:412

↓ 1 callersFunctionmain

()

dependency/bin/parser_test.py:76

↓ 1 callersMethodnext_batch

(self, batch_size)

lexical_analysis/nnetwork/model/get_data.py:50

↓ 1 callersFunctionpadding

(input, map_dict)

lexical_analysis/nnetwork/utils/get_pkl.py:69

↓ 1 callersMethodpredict

(self, model, dataset )

znlp/dparser.py:63

↓ 1 callersMethodpredict

(self, model, dataset )

dependency/bin/parser_test.py:60

↓ 1 callersMethodprint_conll

(self, token_num, token_dep)

znlp/dparser.py:70

↓ 1 callersMethodprint_conll

(self, token_num, token_dep)

dependency/bin/parser_test.py:67

↓ 1 callersMethodprint_trainable_varibles

(self)

dependency/bin/base_model.py:49

↓ 1 callersFunctionprocessLine

(line, out)

tools/get_cws_file.py:48

↓ 1 callersMethodread_conll_test

(self, list_word, list_pos)

dependency/utils/feature_extraction.py:528

↓ 1 callersMethodread_data_test

(self, list_word, list_pos)

dependency/utils/feature_extraction.py:559

↓ 1 callersFunctionread_file

(filename="./data/test1")

dependency/bin/get_sen.py:9

↓ 1 callersMethodreset_predicted_head_id

(self)

dependency/utils/feature_extraction.py:143

↓ 1 callersMethodrun_epoch

(self, sess, config, dataset, train_writer, merged)

dependency/bin/parser_model.py:360

↓ 1 callersMethodrun_valid_epoch

(self, sess, dataset)

dependency/bin/parser_model.py:371

↓ 1 callersFunctionsave_data

(data_type, X, y)

lexical_analysis/nnetwork/utils/get_pkl.py:126

↓ 1 callersFunctionsave_dict

(word2id, id2word, tag2id, id2tag)

lexical_analysis/nnetwork/utils/get_pkl.py:131

↓ 1 callersFunctionseg_file

(file_name)

lexical_analysis/crfpos++/transfer_format.py:28

↓ 1 callersFunctiontext_to_ids

(df_data, word2id, tag2id)

lexical_analysis/nnetwork/utils/get_pkl.py:78

↓ 1 callersFunctiontrain

()

lexical_analysis/nnetwork/train.py:30

↓ 1 callersMethodtrain_on_batch

(self, sess, inputs_batch, labels_batch, merged)

dependency/bin/parser_model.py:247

↓ 1 callersFunctiontransfer

(file_name, output_name)

lexical_analysis/crfpos++/transfer_format.py:6

↓ 1 callersFunctionviterbi

维特比译码：除了第一层以外，每一层有4个节点。计算当前层（第一层不需要计算）四个节点的最短路径：对于本层的每一个节点，计算出路径来自上一层的各个节点的新的路径长度（概率）。保留最大值（最短路径）。上一层每个节点的路径保存在 paths 中。计算本层

lexical_analysis/nnetwork/utils/decode.py:25

↓ 1 callersMethodweight_variable

Create a weight variable with appropriate initialization.

lexical_analysis/nnetwork/model/net_work.py:19

↓ 1 callersMethodwrite_gradient_summaries

(self, grad_tvars)

dependency/bin/parser_model.py:59

MethodX

(self)

lexical_analysis/nnetwork/model/get_data.py:35

Method__init__

(self,ckpt_path, scope_name)

lexical_analysis/nnetwork/predict.py:28

Method__init__

(self, X, y, shuffle=False)

lexical_analysis/nnetwork/model/get_data.py:18

Method__init__

(self, cfg)

lexical_analysis/nnetwork/model/net_work.py:13

Method__init__

(self)

lexical_analysis/nnetwork/pipeline/pipeline.py:22

Method__init__

(self, word, pos, ckpt_path = ckpt_path)

znlp/dparser.py:32

Method__init__

(self, model_type='ner')

znlp/loadModel.py:15

Method__init__

(self, target, width=30, verbose=1)

dependency/utils/general_utils.py:108

Method__init__

(self, token_id, word, pos, dep, head_id)

dependency/utils/feature_extraction.py:112

Method__init__

(self, tokens)

dependency/utils/feature_extraction.py:153

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