I've realized that meaning is not a set, and I'd like to discuss if this has any practical application.
Feb 04, 20235 min read
2021-03-31
What would you like to see happen in this conversation?
Meaning is not a set., I had a realization, and I would like to discuss if this has any practical application.
What is the âapplicationâ of this âapplicationâ?
For example, chatbots will be able to do things they couldnât do before.
What kind of âchatbotâ is this âchatbotâ?
Understand the human story.
What kind of âunderstandingâ is that âunderstandingâ?
We understand the meaning of what people are talking about. We donât yet know what it means to understand the meaning, but there is progress in the processing that deals with meaning.
What is the âstoryâ about?
I wonder, that remains to be seen. Maybe itâs the kind of dialogue weâre having here, maybe itâs not.
Is there anything else about that âstoryâ?
There is no And when a meaning is a point, there is similarity between the meanings, but no inclusion. When a meaning is a set, there is an inclusion. There can be intersection. When a meaning is a Gaussian, the probability of inclusion is required.
What is it that you value?
Hopefully there will be some useful application.
Is there anything else you can tell us about its âapplicationâ?
Thatâs what Iâm looking for.
I wonder, that remains to be seen. Maybe itâs the kind of dialogue weâre having here, maybe itâs not.
Where is this âstoryâ?
Between human and computer.
I wonder, that remains to be seen. Maybe itâs the kind of dialogue weâre having here, maybe itâs not.
Where is this âstoryâ?
Itâs like using digital communication to flow in text form.
I wonder, that remains to be seen. Maybe itâs the kind of dialogue weâre having here, maybe itâs not.
How do you know this âstoryâ?
I donât know.
What kind of âunderstandingâ is that âunderstandingâ?
If we find something better, weâll know.
Is there anything else about that âunderstandingâ?
I want to understand.
Hopefully there will be some useful application.
Where is this âapplicationâ?
Thatâs what Iâm looking for.
Hopefully there will be some useful application.
What does this âapplicationâ look like?
Hmmm, itâs the next step after the stairs, and if you can do that, you can reach even higher.
I wonder, that remains to be seen. Maybe itâs the kind of dialogue weâre having here, maybe itâs not.
What do you hope will happen regarding this âstoryâ?
For example, with regard to the conversation we are having here, it would be nice if the questions were more appropriate. For example, if we understand that the user is talking about an event, then the question âWhat happens next?â is appropriate. question is appropriate.
Where does this âstoryâ come from?
If the computer asks the right questions, it will pull from the human.
What kind of âhuman beingâ is this âhuman beingâ?
Wait a minute, so it becomes a matter of inclusion of whether a userâs statement is âa suitable statement to do a certain questionâ?
What kind of âuserâ is this âuserâ?
There are two problems. The key word is âwhere?â and whether the entire statement is appropriate to a question like âWhat happens next?â and whether the entire statement is appropriate for a question like âWhat happens next?
What kind of âquestionâ is that âquestionâ?
There are two types of templates: one that fits keywords into the template and one that does not take keywords.
What kind of âkeywordsâ are those âkeywordsâ?
democrat
What kind of âdemokoâ is this âdemokoâ?
But I wanted to write that keywords can also be multiple words, so the whole sentence should be interpreted as a keyword.
Is there anything else you can tell us about that âkeywordâ?
In other words, it is good to know the inclusion relationship between keywords, and the inclusion relationship is not a general one, but a binary classification of whether it is appropriate for a particular question
Where are these âkeywordsâ located?
The keywords are extracted from the text and processed, but this is a kind of attention, because the weight of zero or one is multiplied by one for each successive section.
Where are those âkey wordsâ?
In a sentence, itâs basically one lump. If itâs an attention, it could be scattered around, so itâs harder to fit it into a template.
What kind of âattentionâ is that âattentionâ?
Weighting for a given input sequence
What kind of âmiâ is that âmiâ?
NGKW Mi
What kind of âweightâ is that âweightâ?
Values that make the area of interest larger.
The keywords are extracted from the text and processed, but this is just a kind of attention, because the weight of zero or one is multiplied by one for each successive interval.
Where do these âkeywordsâ come from?
Right now, theyâre doing conventional keyword extraction and verb-specific extraction.
How do you know what the âkey wordâ is?
Between human and computer.
What kind of âunderstandingâ is that âunderstandingâ?