Natural Language Processing


Parse sturcture rules were developed, which encapsulate the grammer of a language. 


Then, using these rules, it is fairly easy to contruct what is calledda parse tree, which not only tags every word with a likely part of speech, but also reveals how the sentence is constructed.


The smaller chunks of data allow computers to more easily access, process and respondd to information.


This works particularly well when data is stored in a web of semantic information, where entities are linked to one another in meaningful relationships, providing all the ingredients you need to craft informational sentences.


Knowledge graph contains roughly seventy billion facts about, and relationships between, different entities.


Parsing and generating text, are fundamental components of natural language chatbots - computer programs that can chat with people.


Dialog Systems


There was simultaneous innovation in the algorithms for procesiing natural language, moving from hand-crafted rules, to machine learning techniques that could learn automatically from existing datasets of human language.


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