I don't follow the point you're making. A volt plus a meter is just that, a volt plus a meter. A king minus a man plus a woman is a nonsense statement. Neat, but not as not exactly illuminating.

I'm glad it can be useful. But, I agree it seems to leave a lot lacking.

A king minus a man is a monarch. Add a woman and you get a queen. I don't see why this is so complicated. It is just like adding or removing adjectives from something.

This is nonsensical if you don't already have some existing notion of a relationship. These are vectors, not concepts. There a loads of operations that don't have any intuitive notion, yet are well defined in the context of vectors and most likely yield useless results.

Well isn't that true of all abstractions? They give us tools that we couldn't use before, and some of those tools don't make sense. I mean, in real physics it doesn't make sense to add different dimensions, eg time and distance, but math lets us do that, because they are 'just numbers'. We need to know that dimensions can only be multiplied and divided, and dimensional analysis needs to be done afterwards to check the unit of the result.

However, something like the dot-product here does make sense, since you can use it to determine similarities of vectors.

>This is nonsensical if you don't already have some existing notion of a relationship.

The engine does have an emergent notion of the relationship, which is the whole point.

Stop thinking literally, and instead think of the concept. A king is a male monarch. So remove the male, and you have monarch. Add female and you have female monarch = queen.

Similarly with woman + person, the concept of woman is femininity. It makes sense if you think in terms of concepts.

>That doesn't follow in any addition sense. A king minus man can just be a dead king. Or a eunuch. Or, a lonely king.

Yes, and some of those meanings can be closer to the common understanding of reality or the weight of each notion or its probability than others.

Which is also why we can solve riddles and don't get lost in their infinite similar possibilities.

>A king minus a man plus a woman is a nonsense statement.

It's not supposed to be english, it's a query language.

King - man + woman actually is illuminating. Your 6 year old son might even say that's what a queen is. There is useful math here.

I call shenanigans. Find me a place where that algebra, which lacks standard rules of common algebra, makes sense.

Consider, king + woman = queen + man. Which looks neat, but is not a universal truth. It could be concubine, for example.

So, is queen + man also concubine?

Again. I'm glad this works for some things. But really just shows which words are often used together. It does not show any good rationale for their meanings. Unlike math, where 1 + 1 equals 2. Possibly in different encodings. But not just from convention of often being used together.

The answers you are looking for are Nobel-worthy. I have not formally studied linguistics, but you might wanna start there. Regarding the king equation, I think "king" is actually a vector in this context, as with the other objects. If so, then it is using the vector space formalism.

That said, I definitely agree with you. An English speaker may find any of these reasonable:

1. King - man = expensive clothing 2. King - man = prince 3. King - man = queen

What is "king"? What is "-"? What is "man"?

If a king is a dressed up wealthy man, and you remove the man, you have wealthy clothes? Or, does removing the man mean degrading the king back into a boy? Or, does removing a man mean adding a woman? Wait -- what if a king is more than a dressed up wealthy man? Should we include his home? Do we need to subtract the home? How do you subtract a home? Is the king minus a man a prince if the king was a beggar when he was young? ... death of the universe ...

Like you said, there's a combinatoric explosion here. Maybe this example is akin to trying to model each and every trajectory of all 10^23 particles in a gas. It looks like these scientists are stepping back, and looking at the big picture, instead, trying to find something more akin to PV = NkT

>It could be concubine, for example.

Precisely. Models which use this space do not propose strong equality (==). Rather, they would output a series of probabilities, and choose the most likely. Stating king + woman = queen + man is somewhat disingenuous; what should be said (mathematically) is something like the following: the word lying closest to the vector vec('king') + vec('woman') - vec('man') is 'queen'.

To suggest that a NN can't learn something about the meaning of words from a large corpus of text is unsubstantiated, I believe. The statement above suggests they do, I would say. I would not be too surprised if a sufficiently complex NN could 'learn' the concept of gender with a corpus of English text to a decently high degree of accuracy, simply based on vestigial features left from French and Old English.

It makes more sense to sort of factorise each thing into its different components. King is a masculine monarch. Man is a masculine person. Queen and woman are the feminine equivalents.

So king + woman = queen + man is better described as:

Masculine monarch feminine person = feminine monarch masculine person

A bit of reordering of adjectives and it is exactly the same. Even monarch is the wrong word, because you seem to be getting hung up on nouns, when these are all actually a bunch of chained adjectives. Perhaps "regality + nobility + rulery". English is a bad language to describe this, because we tend to noun and verb our adjectives regularly.

>Consider, king + woman = queen + man. Which looks neat, but is not a universal truth. It could be concubine, for example.

That's totally fime, because actual words don't define universal truths either.

Queen could be a band, a transvestite, an actual queen, and several other things besides.

That's the deficiency of AI right now... pattern matching is only one aspect of intelligence that's fairly narrow and only moderately sophisticated.

It's still useful -- you can classify millions of pictures in a meaningful way much faster than before.

I was not claiming against its usefulness. I merely question if it truly has meaning.

That is, x+y has meaning and use in most maths. Here, it seems primarily use.