@@ -7,7 +7,7 @@ def co_occurrence_pipeline(
77 tokenizer_kwargs : Optional [dict ] = None ,
88 ner_step : Type [PipelineStep ] = NLTKNamedEntityRecognizer ,
99 ner_kwargs : Optional [dict ] = None ,
10- characters_extractor_kwargs : Optional [dict ] = None ,
10+ character_unifier_kwargs : Optional [dict ] = None ,
1111 graph_extractor_kwargs : Optional [dict ] = None ,
1212 ** pipeline_kwargs ,
1313) -> Pipeline :
@@ -16,7 +16,7 @@ def co_occurrence_pipeline(
1616 :param tokenizer_kwargs: kwargs for :class:`.NLTKTokenizer`
1717 :param ner_step: the class of the NER step to use.
1818 :param ner_kwargs: kwargs for :class:`.BertNamedEntityRecognizer`
19- :param characters_extractor_kwargs : kwargs for
19+ :param character_unifier_kwargs : kwargs for
2020 :class:`.GraphRulesCharacterUnifier`
2121 :param graph_extractor_kwargs: kwargs for
2222 :class:`.CoOccurrencesGraphExtractor`,
@@ -30,7 +30,7 @@ def co_occurrence_pipeline(
3030
3131 tokenizer_kwargs = tokenizer_kwargs or {}
3232 ner_kwargs = ner_kwargs or {}
33- characters_extractor_kwargs = characters_extractor_kwargs or {}
33+ character_unifier_kwargs = character_unifier_kwargs or {}
3434 graph_extractor_kwargs = graph_extractor_kwargs or {}
3535
3636 if not "co_occurrences_dist" in graph_extractor_kwargs :
@@ -40,7 +40,7 @@ def co_occurrence_pipeline(
4040 [
4141 NLTKTokenizer (** tokenizer_kwargs ),
4242 ner_step (** ner_kwargs ),
43- GraphRulesCharacterUnifier (** characters_extractor_kwargs ),
43+ GraphRulesCharacterUnifier (** character_unifier_kwargs ),
4444 CoOccurrencesGraphExtractor (** graph_extractor_kwargs ),
4545 ],
4646 ** pipeline_kwargs ,
@@ -51,7 +51,7 @@ def conversational_pipeline(
5151 tokenizer_kwargs : Optional [dict ] = None ,
5252 ner_step : Type [PipelineStep ] = NLTKNamedEntityRecognizer ,
5353 ner_kwargs : Optional [dict ] = None ,
54- characters_extractor_kwargs : Optional [dict ] = None ,
54+ character_unifier_kwargs : Optional [dict ] = None ,
5555 quote_detector_kwargs : Optional [dict ] = None ,
5656 speaker_detector_kwargs : Optional [dict ] = None ,
5757 graph_extractor_kwargs : Optional [dict ] = None ,
@@ -62,7 +62,7 @@ def conversational_pipeline(
6262 :param tokenizer_kwargs: kwargs for :class:`.NLTKTokenizer`
6363 :param ner_step: the type of the NER step to use.
6464 :param ner_kwargs: kwargs for :class:`.BertNamedEntityRecognizer`
65- :param characters_extractor_kwargs : kwargs for
65+ :param character_unifier_kwargs : kwargs for
6666 :class:`.GraphRulesCharacterUnifier`
6767 :param quote_detector_kwargs: kwargs for :class:`.QuoteDetector`
6868 :param speaker_detector_kwargs: kwargs for
@@ -80,7 +80,7 @@ def conversational_pipeline(
8080
8181 tokenizer_kwargs = tokenizer_kwargs or {}
8282 ner_kwargs = ner_kwargs or {}
83- characters_extractor_kwargs = characters_extractor_kwargs or {}
83+ character_unifier_kwargs = character_unifier_kwargs or {}
8484 quote_detector_kwargs = quote_detector_kwargs or {}
8585 speaker_detector_kwargs = speaker_detector_kwargs or {}
8686 graph_extractor_kwargs = graph_extractor_kwargs or {}
@@ -93,7 +93,7 @@ def conversational_pipeline(
9393 NLTKTokenizer (** tokenizer_kwargs ),
9494 QuoteDetector (** quote_detector_kwargs ),
9595 ner_step (** ner_kwargs ),
96- GraphRulesCharacterUnifier (** characters_extractor_kwargs ),
96+ GraphRulesCharacterUnifier (** character_unifier_kwargs ),
9797 BertSpeakerDetector (** speaker_detector_kwargs ),
9898 ConversationalGraphExtractor (** graph_extractor_kwargs ),
9999 ],
@@ -105,7 +105,7 @@ def relational_pipeline(
105105 tokenizer_kwargs : Optional [dict ] = None ,
106106 ner_step : Type [PipelineStep ] = NLTKNamedEntityRecognizer ,
107107 ner_kwargs : Optional [dict ] = None ,
108- characters_extractor_kwargs : Optional [dict ] = None ,
108+ character_unifier_kwargs : Optional [dict ] = None ,
109109 relation_extractor_kwargs : Optional [dict ] = None ,
110110 graph_extractor_kwargs : Optional [dict ] = None ,
111111 ** pipeline_kwargs ,
@@ -115,7 +115,7 @@ def relational_pipeline(
115115 :param tokenizer_kwargs: kwargs for :class:`.NLTKTokenizer`
116116 :param ner_step: the type of the NER step to use.
117117 :param ner_kwargs: kwargs for :class:`.BertNamedEntityRecognizer`
118- :param characters_extractor_kwargs : kwargs for
118+ :param characters_unifier_kwargs : kwargs for
119119 :class:`.GraphRulesCharacterUnifier`
120120 :param relation_extraction_kwargs: kwargs for :class:`.T5RelationExtractor`
121121 :param pipeline_kwargs: kwargs for :class:`.Pipeline`
@@ -127,15 +127,15 @@ def relational_pipeline(
127127
128128 tokenizer_kwargs = tokenizer_kwargs or {}
129129 ner_kwargs = ner_kwargs or {}
130- characters_extractor_kwargs = characters_extractor_kwargs or {}
130+ character_unifier_kwargs = character_unifier_kwargs or {}
131131 relation_extractor_kwargs = relation_extractor_kwargs or {}
132132 graph_extractor_kwargs = graph_extractor_kwargs or {}
133133
134134 return Pipeline (
135135 [
136136 NLTKTokenizer (** tokenizer_kwargs ),
137137 ner_step (** ner_kwargs ),
138- GraphRulesCharacterUnifier (** characters_extractor_kwargs ),
138+ GraphRulesCharacterUnifier (** character_unifier_kwargs ),
139139 T5RelationExtractor (** relation_extractor_kwargs ),
140140 RelationalGraphExtractor (** graph_extractor_kwargs ),
141141 ],
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