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trs_train: embedding vectors of TYPE of entity E(topic entity in the question) and RELATIONS of E, vectors are trained in advance by TransH on a data subset(FB2M) (for a triple (s,r,o) in FB2M, replace s,o with their types, so triple become (Ts, r, To), then train with TransH), data files are big so they are not uploaded
ps_train: relative positions of every word to the topic entity in the question (e.g for question"where is Tom born", "Tom" is topic entity and it's the third word in the squence, so in the file "ps_train", the input of this question would be "-2 -1 0 1")
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