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ValadisCERTH
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e28e68e
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Parent(s):
b6216d1
Update comparativesIdentification.py
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comparativesIdentification.py
CHANGED
@@ -6,6 +6,8 @@ import numpy as np
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from sklearn.metrics.pairwise import cosine_similarity
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# use spacy small because in that way we are closer to a BOW model which is the one we care in our case since we just compare words
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nlp_comparatives = spacy.load('en_core_web_sm', disable=["parser", "ner"])
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@@ -45,12 +47,15 @@ def find_comptives_straight_patterns(sentence):
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# find mentions of "equal" followed by "to"
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if token.text.lower() == "equal":
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next_token = token.nbor()
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if next_token.text.lower() == "to":
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prev_token = token.nbor(-1)
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if prev_token.pos_ == "NOUN":
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# comparatives.append({'comparative': ["equal to", "="]})
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comparatives.append({'comparative': "="})
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@@ -60,18 +65,22 @@ def find_comptives_straight_patterns(sentence):
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next_token = token.nbor()
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if next_token.text.lower() == "than":
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prev_token = token.nbor(-1)
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if token.text.lower() == 'more':
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# comparatives.append({'comparative': [token.text + " " + next_token.text, '>']})
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comparatives.append({'comparative': '>'})
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elif token.text.lower() == 'less':
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# comparatives.append({'comparative': [token.text + " " + next_token.text, '<']})
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comparatives.append({'comparative': '<'})
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# find mentions of comparative adjectives or comparative adverbs followed by "than"
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elif token.tag_ == "JJR" or token.tag_ == "RBR":
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next_token = token.nbor()
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if next_token.text.lower() == "than" and next_token.nbor().pos_ != "NOUN":
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@@ -79,9 +88,7 @@ def find_comptives_straight_patterns(sentence):
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# check if the token is a synonym of "bigger"
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# retrieve a set of synonyms for the concepts of 'big' and 'bigger'
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big_synonyms = set(
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wordnet.synsets('big') + wordnet.synsets('large') + wordnet.synsets('great') + wordnet.synsets(
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'huge') + wordnet.synsets('enormous') + wordnet.synsets('heavy') + wordnet.synsets(
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'strong') + wordnet.synsets('enormous') + wordnet.synsets('massive') + wordnet.synsets(
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'immense') + wordnet.synsets('substantial'))
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bigger_synonyms = set(wordnet.synsets('bigger') + wordnet.synsets('larger') + wordnet.synsets(
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@@ -89,17 +96,19 @@ def find_comptives_straight_patterns(sentence):
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'heavier') + wordnet.synsets('stronger'))
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bigger_related_words = big_synonyms.union(bigger_synonyms)
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bigger_rel_words = [word.name().split('.')[0] for word in bigger_related_words]
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flag_bigger = 0
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if token.text.lower() in bigger_rel_words:
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flag_bigger = 1
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# comparatives.append({'comparative': [token.text + " " + next_token.text, '>']})
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comparatives.append({'comparative': '>'})
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# if no synonym of bigger was found, check for smaller synsets
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if
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# retrieve a set of synonyms for the concepts of 'small' and 'smaller'
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small_synonyms = set(wordnet.synsets('small') + wordnet.synsets('little') + wordnet.synsets(
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@@ -113,6 +122,7 @@ def find_comptives_straight_patterns(sentence):
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smaller_rel_words = [word.name().split('.')[0] for word in smaller_related_words]
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if token.text.lower() in smaller_rel_words:
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flag_bigger = 0
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# comparatives.append({'comparative': [token.text + " " + next_token.text, '<']})
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comparatives.append({'comparative': '<'})
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@@ -668,7 +678,7 @@ def identify_comparatives(sentence):
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# Identify straightforward patterns
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straight_comptives = find_comptives_straight_patterns(sentence)
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# Identify advanced bigger/smaller
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bigger_smaller_comparatives = identify_bigger_smaller_advanced(sentence)
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# Identify advanced equal-to comparatives
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@@ -733,7 +743,7 @@ def identify_comparatives(sentence):
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def comparatives_binding(sentence):
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try:
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comparative_symbols = find_comptives_symbols(sentence)
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comparative_mentions = identify_comparatives(sentence)
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from sklearn.metrics.pairwise import cosine_similarity
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spacy.cli.download("en_core_web_sm")
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+
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# use spacy small because in that way we are closer to a BOW model which is the one we care in our case since we just compare words
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nlp_comparatives = spacy.load('en_core_web_sm', disable=["parser", "ner"])
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# find mentions of "equal" followed by "to"
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if token.text.lower() == "equal":
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+
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next_token = token.nbor()
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if next_token.text.lower() == "to":
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+
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prev_token = token.nbor(-1)
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if prev_token.pos_ == "NOUN":
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# comparatives.append({'comparative': ["equal to", "="]})
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comparatives.append({'comparative': "="})
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next_token = token.nbor()
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if next_token.text.lower() == "than":
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prev_token = token.nbor(-1)
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if token.text.lower() == 'more':
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# comparatives.append({'comparative': [token.text + " " + next_token.text, '>']})
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comparatives.append({'comparative': '>'})
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elif token.text.lower() == 'less':
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# comparatives.append({'comparative': [token.text + " " + next_token.text, '<']})
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comparatives.append({'comparative': '<'})
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# find mentions of comparative adjectives or comparative adverbs followed by "than"
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elif token.tag_ == "JJR" or token.tag_ == "RBR":
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next_token = token.nbor()
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if next_token.text.lower() == "than" and next_token.nbor().pos_ != "NOUN":
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# check if the token is a synonym of "bigger"
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# retrieve a set of synonyms for the concepts of 'big' and 'bigger'
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big_synonyms = set(wordnet.synsets('big') + wordnet.synsets('large') + wordnet.synsets('great') + wordnet.synsets('huge') + wordnet.synsets('enormous') + wordnet.synsets('heavy') + wordnet.synsets(
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'strong') + wordnet.synsets('enormous') + wordnet.synsets('massive') + wordnet.synsets(
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'immense') + wordnet.synsets('substantial'))
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bigger_synonyms = set(wordnet.synsets('bigger') + wordnet.synsets('larger') + wordnet.synsets(
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'heavier') + wordnet.synsets('stronger'))
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bigger_related_words = big_synonyms.union(bigger_synonyms)
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bigger_rel_words = [word.name().split('.')[0] for word in bigger_related_words]
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flag_bigger = 0
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if token.text.lower() in bigger_rel_words:
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flag_bigger = 1
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# comparatives.append({'comparative': [token.text + " " + next_token.text, '>']})
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comparatives.append({'comparative': '>'})
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# if no synonym of bigger was found, check for smaller synsets
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if flag_bigger==0:
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# retrieve a set of synonyms for the concepts of 'small' and 'smaller'
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small_synonyms = set(wordnet.synsets('small') + wordnet.synsets('little') + wordnet.synsets(
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smaller_rel_words = [word.name().split('.')[0] for word in smaller_related_words]
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if token.text.lower() in smaller_rel_words:
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flag_bigger = 0
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# comparatives.append({'comparative': [token.text + " " + next_token.text, '<']})
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comparatives.append({'comparative': '<'})
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# Identify straightforward patterns
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straight_comptives = find_comptives_straight_patterns(sentence)
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# Identify advanced bigger/smaller comparativesunknown_error
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bigger_smaller_comparatives = identify_bigger_smaller_advanced(sentence)
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# Identify advanced equal-to comparatives
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def comparatives_binding(sentence):
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#
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try:
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comparative_symbols = find_comptives_symbols(sentence)
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comparative_mentions = identify_comparatives(sentence)
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