def getWordPairVec(w1, w2):
# root = u"I:/数据/word12585relation30/rel_30_ref_TFIDF/ref_800_TFIDF/rel_spc/spc_1_350/word_matrix/"
wordList = getWordList()
WordEmbedding = getEmbedding.getEmbeddingMat_HLBL()
w1vec = WordEmbedding[wordList.index(w1), :]
w2vec = WordEmbedding[wordList.index(w2), :]
vec = hstack([w1vec, w2vec])
return vec
def getWordPairVec(w1,w2):
# root = u"I:/数据/word12585relation30/rel_30_ref_TFIDF/ref_800_TFIDF/rel_spc/spc_1_350/word_matrix/"
wordList = getWordList()
WordEmbedding = getEmbedding.getEmbeddingMat_HLBL()
w1vec = WordEmbedding[wordList.index(w1),:]
w2vec = WordEmbedding[wordList.index(w2),:]
vec = hstack([w1vec,w2vec])
return vec
if item[1] in wordList and item[2] in wordList and item[3] in wordList and item[4] in wordList and item[5] in wordList and item[6] in wordList:
sampleList.append(line)
rfile.close()
wfile = open(u"res/emnlp2013_turk_HLBL.txt","w")
wfile.writelines(item for item in sampleList)
def getWordList():
rfile = open(u"I:/数据/embedings/hlbl/words.txt")
wordList = []
for line in rfile:
wordList.append(line.strip("\n"))
rfile.close()
# arr = np.array(wordList)
return wordList
WordEmbedding = getEmbedding.getEmbeddingMat_HLBL()
wordList = getWordList()
def sentCombMat_verb(w1,w2,w3):
w2Mat = WordEmbedding[wordList.index(w1),:]
return w2Mat
def vecSim(x, y):
# result1 = x.T.dot(y)
# result1 = result1.tolist()[0][0] #svd 之前的稀疏原始矩阵用这个
# x = x*wArr
# y = y*wArr
result1 = np.dot(x,y)
result2 = np.linalg.norm(x)
rfile.close()
wfile = open(u"res/emnlp2013_turk_HLBL.txt", "w")
wfile.writelines(item for item in sampleList)
def getWordList():
rfile = open(u"I:/数据/embedings/hlbl/words.txt")
wordList = []
for line in rfile:
wordList.append(line.strip("\n"))
rfile.close()
# arr = np.array(wordList)
return wordList
WordEmbedding = getEmbedding.getEmbeddingMat_HLBL()
wordList = getWordList()
def sentCombMat_Mult(w1, w2, w3):
w1Mat = WordEmbedding[wordList.index(w1), :]
w2Mat = WordEmbedding[wordList.index(w1), :]
w3Mat = WordEmbedding[wordList.index(w1), :]
return w1Mat * w2Mat * w3Mat
def vecSim(x, y):
# result1 = x.T.dot(y)
# result1 = result1.tolist()[0][0] #svd 之前的稀疏原始矩阵用这个