def retrieve_query_doc(self):
for q in self.queries:
q_results = dict()
print(q.name + '...'),
found_doc_path = search(q.name, self.lucene_searcher, self.lucene_analyzer, 3000)
for doc_path in found_doc_path:
doc_id = doc_path.split('/')[-1].strip()
doc_content = io.open(doc_path, 'r', -1, 'utf-8').read()
if doc_content.replace(' ', '').replace('\n', '').count(q.name) < 4:
continue
q_results[doc_id] = doc_content
# clean doc
cleaned_doc = remove_doc_noise(doc_content) # remove tags like datetime, headline, dateline, etc.
cleaned_doc = remove_xml_tag(cleaned_doc)
cleaned_doc = remove_space_linebreak(cleaned_doc)
# create offset mapping table betwenn clean doc and origin doc
if doc_id in self.doc_mapping_table.keys():
continue
offset_mapping_table = OrderedDict()
cleaned_doc_index = 0
origin_doc_index = 0
for char in cleaned_doc:
while True:
if char != doc_content[origin_doc_index]:
origin_doc_index += 1
else:
offset_mapping_table[cleaned_doc_index] = origin_doc_index
cleaned_doc_index += 1
origin_doc_index += 1
break
# check correctness of offset mapping table
for index in offset_mapping_table.keys():
assert cleaned_doc[index] == doc_content[offset_mapping_table[index]]
self.doc_mapping_table[doc_id] = offset_mapping_table
self.cleaned_docs[doc_id] = cleaned_doc
self.query_docs[q.id] = q_results
print('Done')
def stateorprovince(self, slot_type, evidence_slot_type):
current_output = self.query_answer.output[slot_type]
city = None
# find query's city answer.
for line_output in self.query_answer.output[evidence_slot_type]:
if line_output.slot_filler:
city = line_output
if city is None:
return current_output
# infer province by city
province = ''
evidence = '' # evidence is a LineOutput object
city_slot_filler = city.slot_filler
city_slot_filler = jianfan.ftoj(city_slot_filler)
for r in [u'区', u'县', u'市']:
city_slot_filler = city_slot_filler.replace(r, '')
for p in self.china_province_city:
if province:
break
if p['type'] == 0:
if city_slot_filler in [item['name'] for item in p['sub']]:
province = p['name']
evidence = city
break
else:
for c in p['sub']:
if city_slot_filler in [item['name'] for item in c['sub']]:
province = p['name']
evidence = city
break
# if inference fails, return original answer
if not province:
return current_output
# search provenance
found_doc_path = search(province + city_slot_filler, self.searcher,
self.analyzer, 50)
if not found_doc_path:
return current_output
evidence_doc_path = found_doc_path[0]
# add additional doc to source_doc for visualization
doc_id = evidence_doc_path.split('/')[-1].strip()
doc = io.open(evidence_doc_path, 'r', -1, 'utf-8').read()
self.sf_object.query_docs[doc_id] = doc
wp_beg = doc.find(province + city_slot_filler)
wp_end = wp_beg + len(province + city_slot_filler) - 1
sp_beg = wp_beg + doc[wp_beg:wp_end + 1].find(province)
sp_end = sp_beg + len(province) - 1
l = LineOutput()
l.slot_type = slot_type
l.run_id = self.query_answer.run_id
p = Provenance()
p.doc_id = doc_id
p.beg = wp_beg
p.end = wp_end
p.text = province + city_slot_filler
l.wide_provenance = [p]
evidence.wide_provenance[0].inference = True
l.wide_provenance += evidence.wide_provenance # evidence is a LineOutput object
l.slot_filler = province
p = Provenance()
p.doc_id = doc_id
p.beg = sp_beg
p.end = sp_end
p.text = province
l.slot_filler_prov = [p]
l.confidence_score = 1
return current_output + [l]
def country(self, slot_type, evidence_slot_type):
current_output = self.query_answer.output[slot_type]
province = None
# find query's province and city answer.
for line_output in self.query_answer.output[evidence_slot_type]:
if line_output.slot_filler:
province = line_output
if province is None:
return current_output
# infer country by province
country = ''
evidence = '' # evidence is a LineOutput object
state_slot_filler = jianfan.ftoj(province.slot_filler)
for c in self.world_coutry_province:
if state_slot_filler in self.world_coutry_province[c]:
country = c
evidence = province
break
# if inference fails, return original answer
if not country:
return current_output
# search provenance
found_doc_path = search(country + state_slot_filler,
self.sf_object.lucene_searcher,
self.sf_object.lucene_analyzer, 50)
if not found_doc_path:
return current_output
evidence_doc_path = found_doc_path[0]
# add additional doc to source_doc for visualization
doc_id = evidence_doc_path.split('/')[-1].strip()
doc = io.open(evidence_doc_path, 'r', -1, 'utf-8').read()
self.sf_object.query_docs[doc_id] = doc
wp_beg = doc.find(country + state_slot_filler)
wp_end = wp_beg + len(country + state_slot_filler) - 1
sp_beg = wp_beg + doc[wp_beg:wp_end + 1].find(country)
sp_end = sp_beg + len(country) - 1
l = LineOutput()
l.slot_type = slot_type
l.run_id = self.query_answer.run_id
p = Provenance()
p.doc_id = doc_id
p.beg = wp_beg
p.end = wp_end
p.text = country + state_slot_filler
l.wide_provenance = [p]
evidence.wide_provenance[0].inference = True
l.wide_provenance += evidence.wide_provenance # evidence is a LineOutput object
l.slot_filler = country
p = Provenance()
p.doc_id = doc_id
p.beg = sp_beg
p.end = sp_end
p.text = country
l.slot_filler_prov = [p]
l.confidence_score = 1
# if province is 台湾, coutry should also add 台湾
if u'台湾' in jianfan.ftoj(province.slot_filler):
return current_output + [l, province]
return current_output + [l]
def stateorprovince(self, slot_type, evidence_slot_type):
current_output = self.query_answer.output[slot_type]
city = None
# find query's city answer.
for line_output in self.query_answer.output[evidence_slot_type]:
if line_output.slot_filler:
city = line_output
if city is None:
return current_output
# infer province by city
province = ''
evidence = '' # evidence is a LineOutput object
city_slot_filler = city.slot_filler
city_slot_filler = jianfan.ftoj(city_slot_filler)
for r in [u'区', u'县', u'市']:
city_slot_filler = city_slot_filler.replace(r, '')
for p in self.china_province_city:
if province:
break
if p['type'] == 0:
if city_slot_filler in [item['name'] for item in p['sub']]:
province = p['name']
evidence = city
break
else:
for c in p['sub']:
if city_slot_filler in [item['name'] for item in c['sub']]:
province = p['name']
evidence = city
break
# if inference fails, return original answer
if not province:
return current_output
# search provenance
found_doc_path = search(province + city_slot_filler, self.searcher, self.analyzer, 50)
if not found_doc_path:
return current_output
evidence_doc_path = found_doc_path[0]
# add additional doc to source_doc for visualization
doc_id = evidence_doc_path.split('/')[-1].strip()
doc = io.open(evidence_doc_path, 'r', -1, 'utf-8').read()
self.sf_object.query_docs[doc_id] = doc
wp_beg = doc.find(province + city_slot_filler)
wp_end = wp_beg + len(province + city_slot_filler) - 1
sp_beg = wp_beg + doc[wp_beg:wp_end+1].find(province)
sp_end = sp_beg + len(province) - 1
l = LineOutput()
l.slot_type = slot_type
l.run_id = self.query_answer.run_id
p = Provenance()
p.doc_id = doc_id
p.beg = wp_beg
p.end = wp_end
p.text = province+city_slot_filler
l.wide_provenance = [p]
evidence.wide_provenance[0].inference = True
l.wide_provenance += evidence.wide_provenance # evidence is a LineOutput object
l.slot_filler = province
p = Provenance()
p.doc_id = doc_id
p.beg = sp_beg
p.end = sp_end
p.text = province
l.slot_filler_prov = [p]
l.confidence_score = 1
return current_output+[l]
def country(self, slot_type, evidence_slot_type):
current_output = self.query_answer.output[slot_type]
province = None
# find query's province and city answer.
for line_output in self.query_answer.output[evidence_slot_type]:
if line_output.slot_filler:
province = line_output
if province is None:
return current_output
# infer country by province
country = ''
evidence = '' # evidence is a LineOutput object
state_slot_filler = jianfan.ftoj(province.slot_filler)
for c in self.world_coutry_province:
if state_slot_filler in self.world_coutry_province[c]:
country = c
evidence = province
break
# if inference fails, return original answer
if not country:
return current_output
# search provenance
found_doc_path = search(country + state_slot_filler,
self.sf_object.lucene_searcher, self.sf_object.lucene_analyzer, 50)
if not found_doc_path:
return current_output
evidence_doc_path = found_doc_path[0]
# add additional doc to source_doc for visualization
doc_id = evidence_doc_path.split('/')[-1].strip()
doc = io.open(evidence_doc_path, 'r', -1, 'utf-8').read()
self.sf_object.query_docs[doc_id] = doc
wp_beg = doc.find(country + state_slot_filler)
wp_end = wp_beg + len(country + state_slot_filler) - 1
sp_beg = wp_beg + doc[wp_beg:wp_end+1].find(country)
sp_end = sp_beg + len(country) - 1
l = LineOutput()
l.slot_type = slot_type
l.run_id = self.query_answer.run_id
p = Provenance()
p.doc_id = doc_id
p.beg = wp_beg
p.end = wp_end
p.text = country+state_slot_filler
l.wide_provenance = [p]
evidence.wide_provenance[0].inference = True
l.wide_provenance += evidence.wide_provenance # evidence is a LineOutput object
l.slot_filler = country
p = Provenance()
p.doc_id = doc_id
p.beg = sp_beg
p.end = sp_end
p.text = country
l.slot_filler_prov = [p]
l.confidence_score = 1
# if province is 台湾, coutry should also add 台湾
if u'台湾' in jianfan.ftoj(province.slot_filler):
return current_output+[l, province]
return current_output+[l]
