def _process_kb_raw(self, path):
self._trie = MultiSetTrie()
with codecs.open(path, 'r', 'utf8') as f:
for i,l in enumerate(f):
if (i+1)%1000 == 0:
print "%d processed" % (i+1)
item = simplejson.loads(l)
names = item["/common/topic/alias"] + [item["name"]]
paths = [alias.split()
for alias in names]
values = [item] * len(paths)
self._trie.add_paths(paths, values)
return self._trie
class FreebaseAnnotator(object):
"""Annotate the entities in the sentence
>>> cur_dir = str(Path(__file__).resolve().parent.parent)
>>> FREEBASE_DUMP_PATH = cur_dir + '/test/data/freebase.dump'
>>> FREEBASE_RAW_PATH = cur_dir + '/test/data/freebase'
>>> annotator = FreebaseAnnotator(FREEBASE_DUMP_PATH, FREEBASE_RAW_PATH)
>>> anns = annotator.annotate('Viacom Inc. and Apple Computers released a new phone .'.split())
>>> len(anns)
3
>>> anns = annotator.annotate('Google and Samsung strike patent cross-licensing deal'.split())
>>> print [a['name'] for _,a in anns]
[u'Google', u'Samsung Electronics']
>>> import os
>>> os.remove(FREEBASE_DUMP_PATH)
"""
DEFAULT_MODEL_PATH = str(Path(__file__).resolve().parent) + '/models/freebase.pkl'
def __init__(self, kb_path = DEFAULT_MODEL_PATH, kb_raw_path=None):
if not Path(kb_path).exists():
if not Path(kb_raw_path).exists():
raise IOError('%s does not exist' % kb_raw_path)
else:
sys.stderr.write('processing raw knowledge base\n')
obj = self._process_kb_raw(kb_raw_path)
pickle.dump(obj, open(kb_path, 'w'))
self._trie = obj
else:
sys.stderr.write('loading knowledge base\n')
self._trie = pickle.load(open(kb_path))
def _process_kb_raw(self, path):
self._trie = MultiSetTrie()
with codecs.open(path, 'r', 'utf8') as f:
for i,l in enumerate(f):
if (i+1)%1000 == 0:
print "%d processed" % (i+1)
item = simplejson.loads(l)
names = item["/common/topic/alias"] + [item["name"]]
paths = [alias.split()
for alias in names]
values = [item] * len(paths)
self._trie.add_paths(paths, values)
return self._trie
def annotate(self, tokens):
"""
Input:
tokens: list of string
Return:
the annotations: list of ((start_token_index, end_token_index), {annotation info})
Note: one annotation contains another, then the longer one is kept
"""
ans = []
last_terminal_value = None
for i in xrange(len(tokens)):
for j in xrange(i, len(tokens)):
try:
self._trie.take(tokens[j])
except InvalidTransition:
self._trie.reset()
if last_terminal_value:
for value in last_terminal_value:
ans.append(((i, j-1), value))
last_terminal_value = None
break
last_terminal_value = self._trie.terminal_values()
return ans
