3 ms·
Natural language understanding. This will open Pandora's can, sort of, because really intelligent surveillance and ad targeting becomes possible. Combine a neur
by _nalply 10y ago
Natural language understanding. This will open Pandora's can, sort of, because really intelligent surveillance and ad targeting becomes possible. Combine a neural network and a lexicon and map an uttering to a graph with probabilities where the graph nodes are entries in the lexicon.
Note that this is partly independent from speech recognition. Perhaps speech could be translated to a string of word alternatives with probabilities, and language understanding gives a hint which alternatives make more sense.
In other words, language understanding could help speech recognition.
- wodenokoto 10y ago> Perhaps speech could be translated to a string of word > alternatives with probabilities, and language > understanding gives a hint which alternatives make more > sense. This is already done, but probabilities are used to determine the best alternative. So basically we ask if p("which" | "Ding dong", "is dead") < p("witch" | "Ding dong", "is dead") then print("witch") Or basically, which of the alternatives have the highest probability given the context and we find a way to measure similar contexts. This generally doesn't give us an understanding of the text.
- _nalply 10y agoYes. I didn't mean to propose that. I know that speech recognition already considers alternatives and probabilities. The main focus of my proposal is something different: a more intuitive «understanding» using neural networks and lexicons. This is somewhat orthogonal to speech recognition. Then I suggested that this «understanding» could help make speech recognition more reliable by adjusting of some probabilities. You see, I have an important insight as a Deaf person. Lipreading only offers a small part of what a person could understand by hearing. But I am often still able to understand what a person says by guessing and using the discourse context to fill in the blanks. I am sure that we all do that to some extent, or we wouldn't have homonyms in the language. This insight tells me that perhaps a disrupting innovation would be a more natural «understanding» of text (in written form) with the help of neural networks and a lexicon.
- wsmith 10y agoCan you give an example of something you want this system to understand?
- _nalply 10y agoA «misuse» would be a spying system which automatically «understands» euphemisms for forbidden things. For me an important use would be a tool to make speech recognition more reliable, for example to automatically subtitle Youtube videos with better accuracy.