def getFrameData(frame_id):
frame = fn.frame_by_id(frame_id)
f_name = frame.name
f_elem = frame.FE
f_lus = frame.lexUnit
f_ctx = getFrameContext(frame)
return f_name, f_elem, f_lus, f_ctx
def getFrameWords(frame_id):
frame = fn.frame_by_id(frame_id)
f_name = frame.name
f_elem = list(frame.FE.keys())
f_lus = frame.lexUnit
lus_names_list = []
lu_keys = f_lus.keys()
for l in lu_keys:
lus_names_list.append(f_lus[l].lexemes[0].name)
return f_name, f_elem, lus_names_list
def build_fn_data(frame_id):
frame_name, frame_elements, lexical_units = {}, {}, {}
f = fn.frame_by_id(frame_id)
frame_name[f.name] = ''
for fe in f.FE.keys():
frame_elements[fe] = ''
for lu in f.lexUnit.keys():
lexical_units[lu] = ''
return [frame_name, frame_elements, lexical_units]
def print_frame(id):
f = fn.frame_by_id(id)
print('NAME: {}[{}]\tDEF: {}'.format(f.name, f.ID, f.definition))
print('\n____ FEs ____')
FEs = f.FE.keys()
for fe in FEs:
fed = f.FE[fe]
print('\tFE: {}\tDEF: {}'.format(fe, fed.definition))
print(fed.definition)
print('\n____ LUs ____')
LUs = f.lexUnit.keys()
for lu in LUs:
print(lu)
def get_frame(frame_id):
f = fn.frame_by_id(frame_id)
return f
# getFrameSetForStudent('Tabasso')
# student: Tabasso
# ID: 133 frame: Process_start
# ID: 2980 frame: Transition_to_a_situation
# ID: 405 frame: Performing_arts
# ID: 1927 frame: Scope
# ID: 2590 frame: Business_closure
frame_ids = [133, 2980, 405, 1927, 2590]
with open(config["output"] + 'results.csv', "w", encoding="utf-8") as out:
print("Assigning Synsets...")
for frame in frame_ids:
f = fn.frame_by_id(frame)
ctx_f, ctx_w = populate_contexts(f, "Frame name")
sense_name = bag_of_words(ctx_f, ctx_w)
out.write("Frame name, {0}, Wordnet Synset, {1}\n".format(f.name, sense_name))
ctx_f, ctx_w = populate_contexts(f, "FEs")
i = 0
while i < len(ctx_f) - 2:
fe = [ctx_f[i], ctx_f[i + 1]]
sense_fes = bag_of_words(fe, ctx_w)
out.write("Frame elements, {0}, Wordnet Synset, {1}\n".format(fe[0], sense_fes))
i += 2
ctx_f, ctx_w = populate_contexts(f, "LUs")
if __name__ == "__main__":
# frame_ids = [8, 2286, 2246, 1490, !2582] Paragallo
# frame_ids = [!1303, 2076, 56, 723, !710] paragallo
# frame_ids = [1071, 1083, 1017, 2625, 731] PARAGALLO
# getFrameSetForStudent('PARAGALLO')
# student: PARAGALLO
# ID: 1071 frame: People_by_vocation (vocation)
# ID: 1083 frame: Subjective_influence (influence)
# ID: 1017 frame: Noise_makers (makers) attenzione esiste noisemakers
# ID: 2625 frame: Relational_location (location)
# ID: 731 frame: Becoming_silent (silent)
#get the frames
frames = [fn.frame_by_id(id) for id in [1071, 1083, 1017, 2625, 731]]
#get the golden data
reader = csv.DictReader(open('./part2/exercise2/input/gold.txt'),
delimiter='\t')
#row={'FrameId': '1071', 'name': 'People_by_vocation', 'sense': 'career.n.01', 'type': 'name'}
gold_data = [row for row in reader]
#function to find the gold syn in file
find_gold_syn = lambda fId, type, name: next(gold[
'sense'] for gold in gold_data if gold["FrameId"] == str(fId) and gold[
"type"] == type and gold["name"] == name.replace(' ', '_'))
with open('./part2/exercise2/output/results.csv', "w",
encoding="utf-8") as out:
row_template = '{}\t{}\t{}\t{}\t{}\t{}\n'
out.write(
ctx_s = ctx_s | {word.lower()}
ctx_i = ctx_s & ctx_w
v = len(ctx_i) + 1
if v > m:
ctx_max = ctx_i
m = v
s_max = s
ctx_s = set()
return s_max
ids = getFrameSetForStudent('Ramundo')
synsets = {}
for i in ids:
list = []
f = fn.frame_by_id(i)
print('*********SYNSETS FOR {}************'.format(f.name))
sentence = str(f.name).split('_')
r = reggente(sentence)
print('Synset for {} is {}'.format(r, fn_disambiguation_context(f, r)))
list.append((r.lower(), fn_disambiguation_context(f, r)))
FEs = f.FE.keys()
for fe in FEs:
fes = fe.replace('_', ' ')
print('Synset for {} is {}'.format(fes,
fn_disambiguation_context(f, fes)))
list.append((fes.lower(), fn_disambiguation_context(f, fes)))
LUs = f.lexUnit.keys()
for lu in LUs:
lus = lu.split('.')
print('Synset for {} is {}'.format(