def getClassification(article, sentences): classification=classify.classify_article(article) if classification == 'person': return personQuest(sentences) elif classification == 'language': return languageQuest(sentences) elif classification == 'city': return cityQuest(sentences) elif classification == 'instrument': return instrumentQuest(sentences)
def getClassification(article, sentences):
if len(sentences) == 0:
errarr = []
errarr.append("There were no sentences found")
return errarr
classification = classify.classify_article(article)
if classification == "person":
return personQuest(sentences)
elif classification == "language":
return languageQuest(sentences)
elif classification == "city":
return cityQuest(sentences)
elif classification == "instrument":
return instrumentQuest(sentences)
for word in sent1.split():
if word in common_transport:
count1 += 1
count2 = 0
for word in sent2.split():
if word in common_transport:
count2 += 1
if count1 >= 4 and count2 >=4:
return sent1+' '+sent2
elif count1 >=4 and count2 <4:
return sent1
elif count1 < 4 and count2 >=4:
return sent2
return ''
classification = classify.classify_article(basename)
#print classification
# here we attempt to deal with generic known-questions for the different
# types of articles
def answer_common_questions(qw,cl):
qw = map(str.lower,qw)
if cl=='person':
#deal with birthday / born / etc
#common patterns
common_birth = ['on','what','day','date','year','when','was','did','he','she','born','birth','birthday','death','died','dead','die','come','into','this','world']
common_birth.extend(sentences[0].split('_'))
birth_date_sentence = sentences[1]
#match 14 June 1643
