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Some NLP tasks do indeed lend themselves well to smoothing, but I was thinking of language understanding tasks like question answering where changing or misunde
by fauigerzigerk 10y ago
Some NLP tasks do indeed lend themselves well to smoothing, but I was thinking of language understanding tasks like question answering where changing or misunderstanding a single word in an entire novel can easily make a correct answer completely incorrect.
I agree with your second paragraph, and if I understand Chomsky correctly, that is part of why he argues in favor of a generative grammar. I can't say that I completely understand how such a grammar would be linked to semantics and experience though.
- YeGoblynQueenne 10y agoAh, OK, sorry for misunderstanding.
- mcguire 10y agoWas that a pun? Out of curiosity, how does Chomsky's generative model account for language understanding?
- foobarqux 10y agoIt demonstrates that human languages all have a certain structure, so it must be an innate faculty of human beings (as opposed to acquired). A neural network could not tell you that. It also suggests further avenues of inquiry (Why that particular structure?)
- mcguire 10y agoI think you misunderstood my question. Here's my understanding of Chomskyian linguistics: 1. You have a certain concept you wish to express. 2. You apply a generative grammar to the concept, producing a linguistic statement. 3. You express the statement in a linguistic performance. 4. I perceive the linguistic performance. 5. ¿I reverse the generative grammar to produce the concept? 6. I understand the concept. My understanding is that Chomsky is only interested in steps 2 and 5 (and that he is explicitly uninterested in 3 and 4). But how does step 5 work?
- foobarqux 10y agoI don't think much is understood about how linear externalizations of language are deserialized into symbolic structures, what those structures are, and how those are symbol structures are mapped into mental representations.
- YeGoblynQueenne 10y agoHah. No pun :)