Timeline for Alternatives to word to vector embedding
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 22, 2022 at 18:10 | history | edited | Dron4K | CC BY-SA 4.0 |
added 52 characters in body
|
| Nov 21, 2022 at 23:58 | comment | added | Erwan | ok, I tried to explain things better in another answer. | |
| Nov 21, 2022 at 19:36 | comment | added | Dron4K | @Erwan: I wanted to know how else words can be represented other than as vectors(if at all). You prompted to me that it is bag of words. Then I read about bag of words and figured out that it is still vector representation(e.g. machinelearningmastery.com/gentle-introduction-bag-words-model) So, I thought my question is incorrect. Everything is always a vector. It might be correctly to think about embedding representations. I read this article towardsdatascience.com/… and answered. Sorry for confusing | |
| Nov 21, 2022 at 14:38 | comment | added | Erwan | You are confusing things: 'Dictionary lookup' is not a word representation; word2vec, Glove, Elmo and subwords are different word embeddings representations. The one which is correct is in your list is One-hot encoding, i.e. the good old bag of words. | |
| Nov 11, 2022 at 12:56 | vote | accept | Dron4K | ||
| Nov 22, 2022 at 18:07 | |||||
| S Nov 11, 2022 at 12:56 | review | First answers | |||
| Nov 25, 2022 at 12:57 | |||||
| S Nov 11, 2022 at 12:56 | history | answered | Dron4K | CC BY-SA 4.0 |