However, by compressing the web search results into a knowledge graph, we significantly reduce the number of tokens by an order of magnitude and make it possible for a model to access the entirety of the search information.
current approaches extractively select portions of web text as input to Sequence-to-Sequence models using methods such as TF-IDF ranking.