API
Contents
API#
malaya_graph#
malaya_graph.text_to_kg.e2e#
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malaya_graph.text_to_kg.e2e.huggingface(model='mesolitica/finetune-ttkg-t5-small-standard-bahasa-cased', **kwargs)[source]# Load HuggingFace model to End-to-End text to knowledge graph.
- Parameters
model (str, optional (default='mesolitica/finetune-ttkg-t5-small-standard-bahasa-cased')) – Check available models at malaya_graph.text_to_kg.e2e.available_huggingface().
- Returns
result
- Return type
malaya_graph.text_to_kg.parser#
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malaya_graph.text_to_kg.parser.from_dependency(tagging, indexing, subjects=[['flat', 'subj', 'nsubj', 'csubj']], relations=[['acl', 'xcomp', 'ccomp', 'obj', 'conj', 'advcl'], ['obj']], objects=[['obj', 'compound', 'flat', 'nmod', 'obl']], got_networkx=True)[source]# Generate knowledge graphs from dependency parsing model. This function been properly curated on top of malaya.dependency.transformer(version = ‘v1’).
- Parameters
tagging (List[Tuple(str, str)]) – tagging result from dependency model.
indexing (List[Tuple(str, str)]) – indexing result from dependency model.
subjects (List[List[str]], optional) – List of dependency labels for subjects.
relations (List[List[str]], optional) – List of dependency labels for relations.
objects (List[List[str]], optional) – List of dependency labels for objects.
got_networkx (bool, optional (default=True)) – If True, will generate networkx.MultiDiGraph.
- Returns
result
- Return type
Dict[result, G]
malaya_graph.kg_to_text#
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malaya_graph.kg_to_text.huggingface(model='mesolitica/finetune-ttkg-t5-small-standard-bahasa-cased', **kwargs)[source]# Load HuggingFace model to knowledge graph to text.
- Parameters
model (str, optional (default='mesolitica/finetune-ttkg-t5-small-standard-bahasa-cased')) – Check available models at malaya_graph.kg_to_text.available_huggingface().
- Returns
result
- Return type
malaya_graph.model.text_to_kg#
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class
malaya_graph.model.text_to_kg.TexttoKG[source]# -
generate(strings, got_networkx=True, **kwargs)[source]# Generate list of knowledge graphs from the input.
- Parameters
strings (List[str]) –
got_networkx (bool, optional (default=True)) – If True, will generate networkx.MultiDiGraph.
**kwargs (vector arguments pass to huggingface generate method.) – Read more at https://huggingface.co/docs/transformers/main_classes/text_generation
- Returns
result
- Return type
List[List[Dict]]
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class
malaya_graph.model.text_to_kg.KGtoText[source]# -
generate(kgs, **kwargs)[source]# Generate a text from list of knowledge graph dictionary.
- Parameters
kg (List[List[Dict]]) – list of list of {‘head’, ‘type’, ‘tail’}
**kwargs (vector arguments pass to huggingface generate method.) – Read more at https://huggingface.co/docs/transformers/main_classes/text_generation
- Returns
result
- Return type
List[str]
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