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Move term extraction rules to nlp class, add some new rules

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This commit is contained in:
Aleksey Filippov 2023-05-31 00:05:42 +04:00
parent 0a8e192789
commit e876220057
2 changed files with 70 additions and 26 deletions
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15
main.py
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@ -1,30 +1,23 @@
#!/usr/bin/env python3
import sys
from typing import List
from src.myontology import MyOntology
from src.nlp import NLP
from src.parse_tree.parse_tree import ParseTree
from src.speech import Speech
from src.syntax import Syntax
def _main(wav_file: str):
text: str = Speech().run_recognition(wav_file)
# text: str = 'как получить кредит на обучение'
# text: str = Speech().run_recognition(wav_file)
text: str = 'У меня кредит в другом банке. Можно ли его перевести в ваш банк? '
print(f'Text: {text}')
parse_tree: ParseTree = Syntax().get_parse_tree(text)
print(f'Parse tree:\n{parse_tree}')
nlp: NLP = NLP()
terms: List[str] = []
terms.extend(nlp.get_adj_noun(parse_tree))
terms.extend(nlp.get_nouns(parse_tree))
if len(terms) == 0:
terms.extend(nlp.get_terms_by_template(parse_tree, ['NOUN', 'VERB', 'ADJ']))
terms = NLP().get_terms(parse_tree)
print(f'Extracted terms:\n{", ".join(terms)}')
result: str = MyOntology().get_event_description(terms)
print(f'Test:\n{result}')
print(f'Result:\n{result}')
if __name__ == '__main__':

81
src/nlp.py
View File

@ -9,26 +9,48 @@ from src.parse_tree.parse_tree_node import ParseTreeNode
class NLP:
def __init__(self) -> None:
self.__model = ru_core_news_sm.load()
def __lemmatizer(self, text: str):
doc = self.__model(text)
tokens = [token.lemma_ for token in doc]
return ' '.join(tokens)
@staticmethod
def __get_nodes_by_template(tree: ParseTree, template: str) -> list:
msg_none = f'Can\'t find some terms by template {template}'
msg_success = f'Success terms extraction by template {template}'
top = tree.get_tree_root()
r = Resolver('upos')
nodes: list = []
try:
nodes.extend(r.glob(top, template))
except (ChildResolverError, ResolverError):
print(f'Can\'t find some terms by template {template}')
pass
if len(nodes) == 0:
print(msg_none)
else:
print(msg_success)
return nodes
def __get_terms_by_template(self, tree: ParseTree, template: str) -> List[str]:
def __get_terms_by_template(self, tree: ParseTree, template: str, reverse: bool = False) -> List[str]:
terms: Set[str] = set()
nodes: list = []
tmplt = template
if '/' in template:
split = template.split('/', 1)
tmplt = f'*/{split.pop(0)}*/{"".join(split)}'
nodes.extend(self.__get_nodes_by_template(tree, f'/{template}'))
nodes.extend(self.__get_nodes_by_template(tree, template))
nodes.extend(self.__get_nodes_by_template(tree, tmplt))
for node in nodes:
if node.parent is None:
continue
terms.add(f'{self.lemmatizer(node.lemma)} {self.lemmatizer(node.parent.lemma)}')
if not reverse:
terms.add(f'{self.__lemmatizer(node.lemma)} {self.__lemmatizer(node.parent.lemma)}')
else:
terms.add(f'{self.__lemmatizer(node.parent.lemma)} {self.__lemmatizer(node.lemma)}')
return list(terms)
def __get_terms_by_upos(self, tree: ParseTree, upos: str) -> List[str]:
@ -38,32 +60,61 @@ class NLP:
for node in nodes:
if node.upos != upos:
continue
upos_terms.append(self.lemmatizer(node.lemma))
upos_terms.append(self.__lemmatizer(node.lemma))
if len(upos_terms) < 2:
continue
terms.add(" ".join(upos_terms))
if len(terms) == 0:
print(f'Can\'t find some terms by template NOUN/./NOUN')
else:
print(f'Success terms extraction by template NOUN/./NOUN')
return list(terms)
def lemmatizer(self, text: str):
doc = ru_core_news_sm.load()(text)
tokens = [token.lemma_ for token in doc]
return ' '.join(tokens)
def get_adj_noun(self, tree: ParseTree) -> List[str]:
def __get_adj_noun(self, tree: ParseTree) -> List[str]:
return self.__get_terms_by_template(tree, 'NOUN/ADJ')
def get_nouns(self, tree: ParseTree) -> List[str]:
def __get_nouns(self, tree: ParseTree) -> List[str]:
terms: List[str] = []
terms.extend(self.__get_terms_by_upos(tree, 'NOUN'))
terms.extend(self.__get_terms_by_template(tree, 'NOUN/NOUN'))
terms.extend(self.__get_terms_by_template(tree, 'NOUN/NOUN', True))
return terms
def get_terms_by_template(self, tree: ParseTree, template: List[str]) -> List[str]:
def __get_verb_noun(self, tree: ParseTree) -> List[str]:
return self.__get_terms_by_template(tree, 'VERB/NOUN', True)
def __get_single_terms_by_template(self, tree: ParseTree, template: List[str]) -> List[str]:
nouns: List[ParseTreeNode] = []
for node in LevelOrderIter(tree.get_tree_root()):
if node.upos not in template:
continue
nouns.append(node)
return list(set([self.lemmatizer(noun.lemma) for noun in nouns]))
return list(set([self.__lemmatizer(noun.lemma) for noun in nouns]))
@staticmethod
def __merge_nouns(nouns: List[str], verb_nouns: List[str]) -> List[str]:
terms: Set[str] = set()
if len(nouns) == 0 or len(verb_nouns) == 0:
return list(terms)
for verb_noun in verb_nouns:
split = verb_noun.split(' ')
current_noun = split.pop()
current_verb = split.pop()
for noun in nouns:
if current_noun in noun.split(' '):
terms.add(f'{current_verb} {noun}')
break
return list(terms)
def get_terms(self, tree: ParseTree) -> List[str]:
terms: List[str] = []
terms.extend(self.__get_adj_noun(tree))
nouns: List[str] = self.__get_nouns(tree)
terms.extend(nouns)
# verb_nouns: List[str] = self.__get_verb_noun(tree)
# terms.extend(verb_nouns)
# merged: List[str] = self.__merge_nouns(nouns, verb_nouns)
# if len(merged) > 0:
# return merged
if len(terms) == 0:
terms.extend(self.__get_single_terms_by_template(tree, ['NOUN', 'VERB', 'ADJ']))
return terms