BTW this paper nicely explains how word2vec is essentially doing a
kind of factorization of a matrix of mutual information values...

https://levyomer.files.wordpress.com/2014/09/neural-word-embeddings-as-implicit-matrix-factorization.pdf



On Mon, Mar 27, 2017 at 9:36 PM, Cassio Pennachin <[email protected]> wrote:
> Hi,
>
>> However, we suggest to do this NOT from parse trees obtained using a
>> grammar learned from supervised training or provided by hand-coding;
>> but rather from parse trees obtained via unsupervised learning.
>
>
> Ah, this is the bit I was missing.
>
>>
>> Referring to
>>
>> https://arxiv.org/pdf/1401.3372.pdf
>>
>> I am suggesting word2vec style embedding as a tool to assist with the
>> "grouping" referred to in step 4 in the numbered list at the start of
>> section 5.1; i.e. in Step 2 of the numbered list occurring after the
>> bullet list in section 5.2.2, which reads
>>
>> "2. Cluster words into categories based on the similarity of their
>> associated usage links"
>
>
> Got it, thanks.
>
> Cassio
> --
> Cassio Pennachin
>
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