def __init__(self, taxonomy_resources, voc_fpath="", relations_fpath="", lang="en"):
self._isas = taxonomy_resources.isas
self._freqs = taxonomy_resources.freqs
self.voc_name = fpath2filename(voc_fpath)
self._voc_fpath = voc_fpath
self._stopwords = load_stoplist(lang=lang)
self._lang = lang
if exists(voc_fpath) and not exists(relations_fpath):
self.voc = self._load_voc(voc_fpath)
relations_fpath = voc_fpath + "-relations.csv"
print "Generating new relations file:", relations_fpath
self._relations_fpath = voc_fpath + "-relations.csv"
self._relations = self._generate_relations(self.voc, self._relations_fpath)
elif exists(relations_fpath):
print "Loading relations file:", relations_fpath
self._relations_fpath = relations_fpath
self._relations = read_csv(relations_fpath, encoding='utf-8', delimiter="\t", error_bad_lines=False)
print "Loaded %d relations from: %s" % (len(self._relations), relations_fpath)
hypos_voc = set(self._relations.hyponym.to_dict().values())
hyper_voc = set(self._relations.hypernym.to_dict().values())
self.voc = hypos_voc.union(hyper_voc)
print "Loaded %d voc from relations" % len(self.voc)
else:
raise Exception("Error: cannot load relations or generate them. Specify either voc_fpath or relations_fpath.")
def __init__(self, freq_fpaths=[], isa_fpaths=[]):
tic = time()
self._freqs = {}
for fpath in freq_fpaths:
fname = fpath2filename(fpath)
self._freqs[fname] = FreqDictionary(fpath)
print "Loaded freq dictionary '%s': %s" % (fname, fpath)
self._isas = {}
for fpath in isa_fpaths:
fname = fpath2filename(fpath)
self._isas[fname] = ISAs(fpath)
print "Loaded isa dictionary (%d words) '%s': %s" % (len(self._isas[fname].data), fname, fpath)
print "Loaded resources in %d sec." % (time() - tic)
def __init__(self, freq_fpaths=[], isa_fpaths=[]):
tic = time()
self._freqs = {}
for fpath in freq_fpaths:
fname = fpath2filename(fpath)
self._freqs[fname] = FreqDictionary(fpath)
print "Loaded freq dictionary '%s': %s" % (fname, fpath)
self._isas = {}
for fpath in isa_fpaths:
fname = fpath2filename(fpath)
self._isas[fname] = ISAs(fpath)
print "Loaded isa dictionary (%d words) '%s': %s" % (len(
self._isas[fname].data), fname, fpath)
print "Loaded resources in %d sec." % (time() - tic)
def _load_voc(self, voc_fpath):
if exists(voc_fpath):
voc_df = read_csv(voc_fpath, encoding='utf-8', delimiter="\t", error_bad_lines=False)
voc_name = fpath2filename(voc_fpath)
voc = set()
for i, row in voc_df.iterrows():
if "term" in row: voc.add(row.term)
elif "word" in row: voc.add(row.word)
print "Loaded %d words vocabulary" % len(voc)
return voc
else:
print "Warning: vocabulary is not loaded. This means hypo2hyper features cannot be extracted."
return set()
def _load_voc(self, voc_fpath):
if exists(voc_fpath):
voc_df = read_csv(voc_fpath,
encoding='utf-8',
delimiter="\t",
error_bad_lines=False)
voc_name = fpath2filename(voc_fpath)
voc = set()
for i, row in voc_df.iterrows():
if "term" in row: voc.add(row.term)
elif "word" in row: voc.add(row.word)
print "Loaded %d words vocabulary" % len(voc)
return voc
else:
print "Warning: vocabulary is not loaded. This means hypo2hyper features cannot be extracted."
return set()
def __init__(self,
taxonomy_resources,
voc_fpath="",
relations_fpath="",
lang="en"):
self._isas = taxonomy_resources.isas
self._freqs = taxonomy_resources.freqs
self.voc_name = fpath2filename(voc_fpath)
self._voc_fpath = voc_fpath
self._stopwords = load_stoplist(lang=lang)
self._lang = lang
if exists(voc_fpath) and not exists(relations_fpath):
self.voc = self._load_voc(voc_fpath)
relations_fpath = voc_fpath + "-relations.csv"
print "Generating new relations file:", relations_fpath
self._relations_fpath = voc_fpath + "-relations.csv"
self._relations = self._generate_relations(self.voc,
self._relations_fpath)
elif exists(relations_fpath):
print "Loading relations file:", relations_fpath
self._relations_fpath = relations_fpath
self._relations = read_csv(relations_fpath,
encoding='utf-8',
delimiter="\t",
error_bad_lines=False)
print "Loaded %d relations from: %s" % (len(
self._relations), relations_fpath)
hypos_voc = set(self._relations.hyponym.to_dict().values())
hyper_voc = set(self._relations.hypernym.to_dict().values())
self.voc = hypos_voc.union(hyper_voc)
print "Loaded %d voc from relations" % len(self.voc)
else:
raise Exception(
"Error: cannot load relations or generate them. Specify either voc_fpath or relations_fpath."
)
