nlp - WordVectors How to concatenate word vectors to form sentence vector -

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i have learned in essays (tomas mikolov...) better way of forming vector sentence concatenate word-vector.

but due clumsy in mathematics, still not sure details.

for example,

supposing dimension of word vector m, sentence has n words.

what correct result of concatenating operation?

is row vector of 1 x m*n ? or matrix of m x n ?

please advise

thanks

there @ least 3 common ways combine embedding vectors; (a) summing, (b) summing & averaging or (c) concatenating. in case, concatenating, give 1 x m*a vector, a number of sentences. in other cases, vector length stays same. see gensim.models.doc2vec.doc2vec, dm_concat , dm_mean - allows use of 3 options [1,2].

[1] http://radimrehurek.com/gensim/models/doc2vec.html#gensim.models.doc2vec.labeledlinesentence

[2] https://github.com/piskvorky/gensim/blob/develop/gensim/models/doc2vec.py


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