import parse_semeval
import cPickle
import random
class Paraphrase:
def __init__(self,name,freq=0.0):
self.name=name
self.freq=freq
def __eq__(self,other):
return self.name==other.name
print "unpickling: priors"
priors=cPickle.load(open('/home/paul/thesis/data/pickles/trainingPriors'))
print "unpickling prob table"
probs=cPickle.load(open('/home/paul/thesis/data/pickles/trainingProbs'))
f=open("/home/paul/thesis/data/SemEval2Task9/SemEval2_task9_testing_keys/FINAL_GOLD.txt")
all_pairs=parse_semeval.parse_file(f)
total=0.0
for pair in all_pairs:
paras=[]
for p in pair.paraphrases:
if p.freq>2:paras.append(p)
number=len(paras)
subs=random.sample(paras,3)
results=[]
print pair.n1+" "+pair.n2
for p in probs.keys():
x=Paraphrase(p.strip())
x.score=0.0
results.append(x)
for p in results:
for s in subs:
score=0.0
basescore=0.0
for b in base[0:m]:
if b in gold_paras:basescore+=1.0
for r in results[0:m]:
if r in gold_paras:score+=1.0
total+=(score/float(m))
basetotal+=(basescore/float(m))
acc=total/len(testing)
print "predictions:"
print total/len(testing)
print
baseacc=basetotal/len(testing)
print "baseline:"
print basetotal/len(testing)
print errcount
print nonerrcount
results=[acc,baseacc]
return results
if __name__=="__main__":
n=5
data_file=open("/home/paul/mayThesis/semEvalTask9/combined.txt")
all_pairs=parse_semeval.parse_file(data_file, n)
get_results(all_pairs[200:500],all_pairs[200:500], 5)
probs[a][b] = (cooc[a][b]) / ((priors[b]) * (priors[a] ** 0))
# print probs[a][b]
else:
probs[a][b] = 0.0
return probs
if __name__ == "__main__":
n = 2
out_file = open(
"/home/paul/mayThesis/semEvalTask9/SemEval2_task9_all_data_final/SemEval2_task9_scorer/out.txt", "w"
)
train_file = open("/home/paul/mayThesis/semEvalTask9/combined.txt")
test_file = open("/home/paul/mayThesis/semEvalTask9/testing.txt")
test_file = open("/home/paul/mayThesis/semEvalTask9/testing.txt")
test_pairs = parse_semeval.parse_file(test_file, n)
all_pairs = parse_semeval.parse_file(train_file, n)
priors = make_priors(all_pairs)
probs = make_prob_table(all_pairs, priors)
for pair in test_pairs:
candidates = copy.copy(pair.paraphrases)
for para in pair.paraphrases:
for c in candidates:
if para == c:
continue
para.score += probs[para.name][c.name]
pair.paraphrases = sorted(pair.paraphrases, key=lambda x: x.score, reverse=True)
i = 0
for p in pair.paraphrases:
i += 1
out_file.write(str(i) + " " + pair.n1 + " " + pair.n2 + " " + p.name + " " + str(p.score) + "\n")