Remove price ontology
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The Smart Enterprise: Making Generative AI Enterprise-Ready

Unite.AI

Back then, it was all about language taxonomy and ontology, entity extraction, and a primitive form of a graph database (largely in XML’s) to try and maintain complex relationships and context between various entities, make sense of search queries, generate a word cloud, and deliver results. until relatively recently.

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Why Linguistics for Text Analysis?

Bitext

As the science of language, Linguistics collects knowledge about language (grammars, ontologies, lexicons). This is the first benefit Linguistics provides to data sicentists. Linguistics helps X-ray the internal structure of text.

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Machine Learning on Graphs @ NeurIPS 2019

ML Review

Additionally, the authors used LUBM as a benchmark for deductive reasoning that contains an ontology with classes and their hierarchy. The KB contains triples in words like (restaurantX, price, cheap) (no fancy KG schemas like Wikidata), and the triples get encoded by the Transformer as well.