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Functions133 in github.com/booknlp/booknlp

⨍ Functions 133◇ Types & classes 16
↓ 16 callersMethodget_spans
(self, rev_tagset, doc_idx, tags, length, sentence)
booknlp/english/tagger.py:1058
↓ 8 callersMethodviterbi_decode
Borrowed from pytorch tutorial Arguments: logits: [batch_size, seq_len, n_labels] FloatTensor lens: [batch_size] LongTensor
booknlp/common/crf.py:66
↓ 5 callersMethodget_index
(self, all_labels, rev_tagset)
booknlp/english/tagger.py:1110
↓ 5 callersMethodtag
(self, batched_sents, batched_data, batched_mask, batched_transforms, batched_orig_token_lens, ordering)
booknlp/english/tagger.py:887
↓ 4 callersMethodget_canonical
Given a alias dictionary that maps aliases (nicknames, alternative names) to a "canonical" version of the name, return all possible canonical ve
booknlp/english/name_coref.py:56
↓ 4 callersMethodscore
(self, y, lens, logits=None)
booknlp/common/crf.py:164
↓ 3 callersMethodadd_hyperparameters_to_counts
(self, refs=None, entities=None, tokens=None)
booknlp/english/gender_inference_model_1.py:89
↓ 3 callersMethoddelete_counts
(self)
booknlp/english/gender_inference_model_1.py:388
↓ 3 callersMethodforward
(self, input_ids, matrix1, matrix2, attention_mask=None, transforms=None, labels=None, lens=None)
booknlp/english/tagger.py:185
↓ 3 callersFunctionget_coref_score
(metric, path_to_scorer, gold=None, preds=None)
booknlp/common/calc_coref_metrics.py:3
↓ 3 callersMethodget_head
(self, start, end, tokens)
booknlp/english/gender_inference_model_1.py:206
↓ 3 callersMethodmaximization
(self, delete_counts=True)
booknlp/english/gender_inference_model_1.py:377
↓ 3 callersMethodsequence_mask
(self, lens, max_len=None)
booknlp/common/crf.py:173
↓ 2 callersMethodadd_property
(self, entity_properties, cand_assignment, mention, ref_genders)
booknlp/english/bert_coref_quote_pronouns.py:194
↓ 2 callersFunctionb3
(gold, system)
booknlp/common/b3.py:3
↓ 2 callersMethodbuild_vocab
(self, tokens, entities, refs=None)
booknlp/english/gender_inference_model_1.py:214
↓ 2 callersMethodforwardFlatSequence
(self, input_ids, token_type_ids=None, attention_mask=None, transforms=None, labels=None)
booknlp/english/tagger.py:98
↓ 2 callersMethodget_batches
(self, all_x, all_m, batch_size=32, doLowerCase=True)
booknlp/english/speaker_attribution.py:74
↓ 2 callersMethodget_closest_entities
(self, first, idx, entities, top=10)
booknlp/english/bert_coref_quote_pronouns.py:233
↓ 2 callersMethodget_mentions
(self, loc_starts, idx)
booknlp/english/gender_inference_model_1.py:349
↓ 2 callersMethodget_non_quote_cands
(self, first, idx, entities)
booknlp/english/bert_coref_quote_pronouns.py:221
↓ 2 callersFunctionlog_sum_exp
(vec, dim=0)
booknlp/common/crf.py:13
↓ 2 callersMethodpredict
(self, input_ids, attention_mask=None, transforms=None, lens=None)
booknlp/english/tagger.py:526
↓ 2 callersFunctionproc
()
booknlp/booknlp.py:20
↓ 2 callersMethodprocess
(self, inputFile, outputFolder, idd)
booknlp/booknlp.py:16
↓ 2 callersMethodprocess
(self, toks, entities, refs=None)
booknlp/english/gender_inference_model_1.py:396
↓ 2 callersMethodprocess_doc
(self, doc)
booknlp/common/pipelines.py:108
↓ 2 callersFunctionread_annotations
Read tsv data and return sentences and [word, tag, sentenceID, filename] list
booknlp/common/sequence_layered_reader.py:91
↓ 2 callersMethodread_entities
(self, entityFile)
booknlp/english/gender_inference_model_1.py:496
↓ 2 callersMethodread_tokens
(self, tokenFile)
booknlp/english/gender_inference_model_1.py:471
↓ 2 callersMethodupdate
(self, e_seq, f_seq)
booknlp/english/gender_inference_model_1.py:364
↓ 1 callersMethod_bilstm_score
(self, logits, y, lens)
booknlp/common/crf.py:154
↓ 1 callersMethodbuild_vocab_from_files
(self, entityFiles, tokenFiles)
booknlp/english/gender_inference_model_1.py:246
↓ 1 callersMethodcalc_overlap
(self, small, big)
booknlp/english/name_coref.py:247
↓ 1 callersMethodcluster
(self, entities, is_named, refs)
booknlp/english/name_coref.py:398
↓ 1 callersMethodcluster_identical_propers
Assign all mentions that are identical to the same entity (used in combination with only performing pronominal coreference resolution)
booknlp/english/name_coref.py:287
↓ 1 callersMethodcluster_narrator
Create an entity for the first-person narrator from all mentiosn of "I", "me", "my" and "myself" outside of quotes
booknlp/english/name_coref.py:339
↓ 1 callersMethodcluster_noms
Assign all nominal mentions that are identical to the same entity (used in combination with only performing pronominal coreference resolution)
booknlp/english/name_coref.py:313
↓ 1 callersMethodcluster_only_nouns
(self, entities, refs, tokens)
booknlp/english/name_coref.py:357
↓ 1 callersMethodcompress
(self, labels, rev_tagset)
booknlp/english/tagger.py:1095
↓ 1 callersMethodconvert_data
(self, tokens, entities)
booknlp/english/litbank_coref.py:63
↓ 1 callersMethodfilter_ws
(self, text)
booknlp/common/pipelines.py:85
↓ 1 callersMethodfilter_ws
(self, text)
booknlp/common/pipelines.py:154
↓ 1 callersMethodforward
(self, batch_x, batch_m)
booknlp/english/speaker_attribution.py:171
↓ 1 callersMethodget_ant_labels
(self, all_doc_sents, all_doc_ents, all_quotes)
booknlp/english/bert_coref_quote_pronouns.py:874
↓ 1 callersFunctionget_conll
(path_to_scorer, gold=None, preds=None)
booknlp/common/calc_coref_metrics.py:14
↓ 1 callersMethodget_data
(self, doc, ents, max_ents, max_words, batchsize=128)
booknlp/english/bert_coref_quote_pronouns.py:657
↓ 1 callersMethodget_matrix
(self, list_of_entities, max_words, max_ents)
booknlp/english/bert_coref_quote_pronouns.py:648
↓ 1 callersMethodget_mention_reps
(self, input_ids=None, attention_mask=None, starts=None, ends=None, index=None, widths=None, quotes=None, matr
booknlp/english/bert_coref_quote_pronouns.py:109
↓ 1 callersMethodget_mention_width_bucket
(self, dist)
booknlp/english/bert_coref_quote_pronouns.py:550
↓ 1 callersMethodget_representation
(self, quotes, entities, tokens, doLowerCase=True)
booknlp/english/bert_qa.py:90
↓ 1 callersMethodget_syntax
(self, tokens, entities, assignments, genders)
booknlp/english/english_booknlp.py:164
↓ 1 callersMethodget_variants
(self, parts)
booknlp/english/name_coref.py:28
↓ 1 callersMethodget_wn
(self, supersense_batched_sents)
booknlp/english/entity_tagger.py:37
↓ 1 callersMethodget_wp_position_for_all_tokens
(self, words, doLowerCase=True)
booknlp/english/speaker_attribution.py:51
↓ 1 callersMethodis_compatible
(self, cand_mention, eid, entity_properties, mention, ref_genders, score)
booknlp/english/bert_coref_quote_pronouns.py:202
↓ 1 callersMethodname_cluster
Get counts of all unique names (to be used for disambiguation later)
booknlp/english/name_coref.py:103
↓ 1 callersMethodpredict_all
(self, wn, input_ids, attention_mask=None, transforms=None, lens=None, doEvent=True, doEntities=True, doSS=Tru
booknlp/english/tagger.py:249
↓ 1 callersMethodprint
(self, epoch)
booknlp/english/gender_inference_model_1.py:331
↓ 1 callersMethodprocess
(self, spanFile)
booknlp/english/name_coref.py:282
↓ 1 callersFunctionread_data
(filename)
booknlp/common/b3.py:48
↓ 1 callersMethodread_hyperparams
(self, filename)
booknlp/english/gender_inference_model_1.py:164
↓ 1 callersMethodread_wn
(self, filename)
booknlp/english/entity_tagger.py:26
↓ 1 callersMethodsupersense_predict
Get logits for layered sequence labeling
booknlp/english/tagger.py:690
↓ 1 callersMethodtag
(self, entities, tokens, refs, minThreshold=0)
booknlp/english/gender_inference_model_1.py:288
↓ 1 callersMethodtagFromFile
(self, entityFiles, tokenFiles)
booknlp/english/gender_inference_model_1.py:261
↓ 1 callersMethodtag_all
Tag input data for layered sequence labeling
booknlp/english/tagger.py:806
↓ 1 callersMethodtest
(self, test_doc, test_ents, max_words, max_ents, refs, ref_gender, attributed_quotations, quotes)
booknlp/english/litbank_coref.py:30
↓ 1 callersMethodtransition_score
Arguments: labels: [batch_size, seq_len] LongTensor lens: [batch_size] LongTensor
booknlp/common/crf.py:117
↓ 1 callersMethodupdate_gender_from_coref
(self, genders, entities, corefs)
booknlp/english/gender_inference_model_1.py:516
Method__init__
(self, language, model_params)
booknlp/booknlp.py:11
Method__init__
(self, model_params)
booknlp/english/english_booknlp.py:24
Method__init__
(self, freeze_bert=False, base_model=None, tagset=None, supersense_tagset=None, tagset_flat=None, hidden_dim=1
booknlp/english/tagger.py:16
Method__init__
(self, gender_cats, freeze_bert=False, base_model=None, pronominalCorefOnly=True)
booknlp/english/bert_coref_quote_pronouns.py:34
Method__init__
(self, aliasFile)
booknlp/english/name_coref.py:14
Method__init__
(self, outfile=None, tokens=None, entities=None, entityFiles=None, tokenFiles=None, hyperparameterFile=None, d
booknlp/english/gender_inference_model_1.py:31
Method__init__
(self, model_file, model_tagset)
booknlp/english/entity_tagger.py:9
Method__init__
(self, base_model=None)
booknlp/english/speaker_attribution.py:24
Method__init__
(self, modelFile, gender_cats, pronominalCorefOnly=True)
booknlp/english/litbank_coref.py:11
Method__init__
(self, modelFile)
booknlp/english/bert_qa.py:12
Method__init__
(self, start, end, entity_id=None, quote_id=None, quote_eid=None, proper=None, ner_cat=None, in_quote=None, te
booknlp/common/pipelines.py:4
Method__init__
(self, paragraph_id, sentence_id, index_within_sentence_idx, token_id, text, pos, fine_pos, lemma, deprel, dep
booknlp/common/pipelines.py:25
Method__init__
(self, spacy_nlp)
booknlp/common/pipelines.py:80
Method__init__
(self, nlp)
booknlp/common/pipelines.py:150
Method__init__
(self, vocab_size, device)
booknlp/common/crf.py:20
Method__str__
(self)
booknlp/common/pipelines.py:19
Method__str__
(self)
booknlp/common/pipelines.py:42
Methodassign_quotes_to_entity
(self, entities)
booknlp/english/bert_coref_quote_pronouns.py:179
Methodcheck_conj
(tok, tokens)
booknlp/english/english_booknlp.py:166
Functioncheck_f1
(data)
booknlp/common/sequence_eval.py:210
Functioncheck_f1_two_lists
(gold, preds, tagset)
booknlp/common/sequence_eval.py:179
Functioncheck_span_f1_two_dicts
(gold, pred)
booknlp/common/sequence_eval.py:83
Functioncheck_span_f1_two_dicts_subcat
(gold, pred)
booknlp/common/sequence_eval.py:18
Functioncheck_span_f1_two_lists
(gold, preds, orig_tagset)
booknlp/common/sequence_eval.py:106
Methodconvert
(self, sents)
booknlp/common/pipelines.py:46
Methodconvert_word
(word)
booknlp/english/bert_qa.py:92
Methoddeconvert
(self, toks)
booknlp/common/pipelines.py:59
Methodevaluate
Evaluate input data (with labels) for layered sequence labeling
booknlp/english/tagger.py:948
Methodevaluate
(self, dev_x_batches, dev_m_batches, dev_y_batches, dev_o_batches, epoch)
booknlp/english/speaker_attribution.py:190
MethodevaluateFlat
(self, dev_batched_data, dev_batched_mask, dev_batched_labels, dev_batched_transforms, metric, tagset)
booknlp/english/tagger.py:989
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