My pleasure!
RD

Il mar 25 lug 2023, 18:46 Peratham Wiriyathammabhum <[email protected]>
ha scritto:

> A pleasure to me to be cc’ed by Prof. Delmonte.
>
> On 25 Jul BE 2566, at 23:01, Rodolfo Delmonte <[email protected]> wrote:
>
> 
> In fact tensors should capture ideally both paradigmatic and synthagmatic
> properties of a word in a sentence given the fact that they are usually
> made up of matrices, that is at least couples of vectors where the rows are
> represented by embeddings. The question is do matrices represent all needed
> semantic and syntactic properties of a sentence? I doubt it and in fact
> when it comes to deep implicit content they certainly fail. But also with
> OOVWs or simply rare words no reasonable outcome is obtained.
> Rodolfo
>
> Il mar 25 lug 2023, 17:28 Ada Wan via Corpora <[email protected]> ha
> scritto:
>
>> Dear lbrtchx
>>
>> Yes, indeed, it is possible for a string (or an expression or a lexical
>> item... etc.) to refer to different things based on different contexts. One
>> could refer to it as polysemy (or not).
>> Many fields have shared vocabulary items. Same character or character
>> strings can be used in ways that show differences "in nature"/"by
>> definition" (i.e. different due to discipline-specific, historical reasons)
>> or differences in practice (which could be more general/generalized). Esp.
>> in an engineering field nowadays, a term used for/in practice is likely to
>> gradually take over the one favored historically over time.
>>
>> Then again, Is your inquiry more about vocabulary use, or for what reason
>> are you asking your question(s)?
>>
>> Best
>> Ada
>>
>>
>> On Tue, Jul 25, 2023 at 10:40 AM Peratham Wiriyathammabhum via Corpora <
>> [email protected]> wrote:
>>
>>> Not talking to any medical doctors for another sense :)
>>>
>>> From WordNet (r) 3.0 (2006) [wn]:
>>>
>>>   tensor
>>>     n 1: a generalization of the concept of a vector
>>>       2: any of several muscles that cause an attached structure to become 
>>> tense or firm
>>>
>>>
>>>
>>> On 25 Jul BE 2566, at 06:13, Albretch Mueller via Corpora <
>>> [email protected]> wrote:
>>>
>>> On 7/24/23, Andrea Nini via Corpora <[email protected]> wrote:
>>>
>>> ... See:
>>>
>>> https://en.wikipedia.org/wiki/Tensor_(machine_learning)
>>>
>>>
>>> Oh! Am I silly! ;-) That is why I was noticing a really strident
>>> impedance between what they were saying and what we, Mathematicians,
>>> mean by, have been taught to understand as:
>>>
>>> https://en.wikipedia.org/wiki/Tensor
>>>
>>> I was fancying self-describing decentralized hyper-forests of text
>>> segments out of which a Language's grammar could be derived ... and
>>> based on such totally off the mark, fanciful ideations I was trying to
>>> somehow figure out how to describe the inner intersubjective aspects
>>> of valuation through tensor planes ... there I went.
>>> ~
>>> On 7/24/23, Darren Cook <[email protected]> wrote:
>>>
>>>  Perhaps my doubts relate to the fact that as a theoretical physicist
>>>
>>> myself, the kind of "mathematical purity" I was trained into...
>>>
>>>
>>> By the way, this is probably veering off-topic for corpora-l.
>>>
>>>
>>> datascience.stackexchange.com is quite a good place for questions about
>>>
>>> transformers, embeddings, NLP, etc.
>>>
>>>
>>> As a TI I can't use stackoverflow, stackexchange ... (they start road
>>> blocking you in really obnoxious ways) I can't even visit public
>>> libraries in "'the' 'land' of 'the' free ...", "because" they
>>> blacklisted me in the FBI criminal index (believe me, you would laugh
>>> about it if you could if you knew me)
>>>
>>> lbrtchx
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