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]
nbest=True, keepscore=True, normalizescore=True)
print "Senses ranked by #overlaps:", answer
best_sense = answer[0][1]
try:
definition = best_sense.definition()
except:
definition = best_sense.definition
print "Definition:", definition
print
print "======== TESTING adapted_lesk ===========\n"
from lesk import adapted_lesk
print "#TESTING adapted_lesk() ..."
print "Context:", bank_sents[0]
answer = adapted_lesk(bank_sents[0], 'bank')
print "Sense:", answer
try:
definition = answer.definition()
except:
definition = answer.definition
print "Definition:", definition
print
print "#TESTING adapted_lesk() with pos, stem, nbest and scores."
print "Context:", bank_sents[0]
answer = adapted_lesk(bank_sents[0],'bank','n', True, \
nbest=True, keepscore=True)
print "Senses ranked by #overlaps:", answer
best_sense = answer[0][1]
try:
print "#TESTING simple_lesk() with nbest results and normalized scores"
print "Context:", plant_sents[0]
answer = simple_lesk(plant_sents[0],'plant','n', True, \
nbest=True, keepscore=True, normalizescore=True)
print "Senses ranked by #overlaps:", answer
best_sense = answer[0][1]
print "Definition:",best_sense.definition()
print
print "======== TESTING adapted_lesk ===========\n"
from lesk import adapted_lesk
print "#TESTING adapted_lesk() ..."
print "Context:", bank_sents[0]
answer = adapted_lesk(bank_sents[0],'bank')
print "Sense:", answer
print "Definition:",answer.definition()
print
print "#TESTING adapted_lesk() with pos, stem, nbest and scores."
print "Context:", bank_sents[0]
answer = adapted_lesk(bank_sents[0],'bank','n', True, \
nbest=True, keepscore=True)
print "Senses ranked by #overlaps:", answer
best_sense = answer[0][1]
print "Definition:",best_sense.definition()
print
print "======== TESTING cosine_lesk ===========\n"
from lesk import cosine_lesk
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 print "======== TESTING adapted_lesk ===========\n" from lesk import adapted_lesk print "#TESTING adapted_lesk() ..." print "Context:", bank_sents[0] answer = adapted_lesk(bank_sents[0],'bank') print "Sense:", answer print "Definition:",answer.definition print print "======== TESTING cosine_lesk ===========\n" from lesk import cosine_lesk print "#TESTING adapted_lesk() ..." print "Context:", bank_sents[0] answer = cosine_lesk(bank_sents[0],'bank') print "Sense:", answer print "Definition:",answer.definition print print "======== TESTING baseline ===========\n"
