Algorithms

[nadavWeisler]

Markov model -> https://www.cs.princeton.edu/courses/archive/spr05/cos126/assignments/markov.html Hidden markov model -> https://web.stanford.edu/~jurafsky/slp3/A.pdf Brown clustering -> https://www.cs.columbia.edu/~djhsu/papers/brown-talk.pdf https://en.wikipedia.org/wiki/Brown_clustering

https://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html

[nadavWeisler]

Predicate Logic -> https://www.aclweb.org/anthology/C80-1059.pdf https://www.javatpoint.com/first-order-logic-in-artificial-intelligence Cross situational learning -> https://www.frontiersin.org/articles/10.3389/fcomm.2020.602471/full

[nadavWeisler]

Brown Clustering: http://aritter.github.io/courses/5525_slides/brown.pdf https://www.aclweb.org/anthology/R15-1016.pdf https://www.aclweb.org/anthology/J92-4003.pdf https://en.wikipedia.org/wiki/Brown_clustering