def apply_lesk(sent, head_word, pos_arr, index, method='adapted',stop=True):
if method == "adapted":
answer = LESK.adapted_lesk(sent, head_word, pos_arr[index],stop=False)
elif method == 'new':
answer = LESK.new_lesk(sent, head_word, pos_arr[index],stop=stop)
elif method == 'original':
answer = LESK.original_lesk(sent, head_word)
elif method == 'simple':
answer = LESK.simple_lesk(sent, head_word)
# no synset of answer
if answer is None:
return ''
if (head_word in answer.lemma_names):
answer.lemma_names.remove(head_word)
if not answer.lemma_names:
return ''
else:
return answer.lemma_names[0]
bank_sents = [
'I went to the bank to deposit my money',
'The river bank was full of dead fishes'
]
plant_sents = [
'The workers at the industrial plant were overworked',
'The plant was no longer bearing flowers'
]
print "======== TESTING simple_lesk ===========\n"
from lesk import simple_lesk
print "#TESTING simple_lesk() ..."
print "Context:", bank_sents[0]
answer = simple_lesk(bank_sents[0], 'bank')
print "Sense:", answer
try:
definition = answer.definition()
except:
definition = answer.definition # Using older version of NLTK.
print "Definition:", definition
print
print "#TESTING simple_lesk() with POS ..."
print "Context:", bank_sents[1]
answer = simple_lesk(bank_sents[1], 'bank', 'n')
print "Sense:", answer
try:
definition = answer.definition()
except:
if wordnet.synsets(t) != []:
if (nltk.pos_tag([t])[0][1]) != "NNP":
if t.lower() not in improved_stopwords:
filtered_query.append(t)
print("The filtered query after removing the stop words is as follows :\n",
filtered_query)
# printing the sysnset and the meaning
for f in filtered_query:
print('The differnet forms and their meanings of "', f.upper(),
'" are as follows : \n')
syns = wordnet.synsets(f)
i = 1
for s in syns:
print(i, "." " " "Form : ", s, "\n Meaning : ", s.definition())
i = i + 1
print('*' * 20)
# using the LESK algorithm to disambiguate the meaning of the word using the context.
print('Using the simple lesk algorithm to disambiguate the word sense')
print(' ' * 100)
for f in filtered_query:
print('The correct sense of the word "', f.upper(), ' "is as follows:')
print('-' * 50)
print('Context:', input_query)
correct_sense = simple_lesk(input_query, f)
print('Sense:', correct_sense)
print('Definition:', correct_sense.definition())
print(' ' * 100)
#!/usr/bin/env python -*- coding: utf-8 -*- bank_sents = ['I went to the bank to deposit my money', 'The river bank was full of dead fishes'] plant_sents = ['The workers at the industrial plant were overworked', 'The plant was no longer bearing flowers'] print "======== TESTING simple_lesk ===========\n" from lesk import simple_lesk print "#TESTING simple_lesk() ..." print "Context:", bank_sents[0] answer = simple_lesk(bank_sents[0],'bank') print "Sense:", answer print "Definition:",answer.definition() print print "#TESTING simple_lesk() with POS ..." print "Context:", bank_sents[1] answer = simple_lesk(bank_sents[1],'bank','n') print "Sense:", answer print "Definition:",answer.definition() print print "#TESTING simple_lesk() with POS and stems ..." print "Context:", plant_sents[0] answer = simple_lesk(plant_sents[0],'plant','n', True) print "Sense:", answer print "Definition:",answer.definition() print
def getSynset(s, word):
return simple_lesk(s, word)
#!/usr/bin/env python -*- coding: utf-8 -*- bank_sents = ['I went to the bank to deposit my money', 'The river bank was full of dead fishes'] plant_sents = ['The workers at the industrial plant were overworked', 'The plant was no longer bearing flowers'] print "======== TESTING simple_lesk ===========\n" from lesk import simple_lesk print "#TESTING simple_lesk() ..." print "Context:", bank_sents[0] answer = simple_lesk(bank_sents[0],'bank') print "Sense:", answer print "Definition:",answer.definition print print "#TESTING simple_lesk() with POS ..." print "Context:", bank_sents[1] answer = simple_lesk(bank_sents[1],'bank','n') print "Sense:", answer print "Definition:",answer.definition print print "#TESTING simple_lesk() with POS and stems ..." print "Context:", plant_sents[0] answer = simple_lesk(plant_sents[0],'plant','n', True) print "Sense:", answer print "Definition:",answer.definition print
