Even more so considering the significant results received recently in the pass rankings and the results reported in the papers presented by dai around the deepct framework. The inventor of deepct has also joined the google tf-ranking team and is listed on the latest model Mexico Phone Number List submissions on the ms marco pass-through ranking charts. Some of the legacy Mexico Phone Number List challenges that appear to be overcome by deepct in the current tfr-bert research model results and in dai's papers could be considered "A ranking breakthrough.
Recalling google's search on event last week, Prabhakar Raghavan announcing "Passage indexing" and saying, "We recently made a ranking breakthrough." deepct looks like it could possibly be a pretty big breakthrough in the rankings. So how does deepct work? Instead of using term Mexico Phone Number List frequency in the first step of searching/ordering information, deepct seems to be proposing to replace term frequency (tf) with tfdeepct. With deepct, the contextual meaning of a word is identified as an alternative.
To simply counting the number of times a keyword is mentioned in a passage, using deep contextualized representations through bert transformers. Important words in context are given more weight even if they are mentioned less and an importance score is assigned Mexico Phone Number List considering the context of the word in a particular paragraph or context, since words have different meanings at different times and in different contexts. Different scenarios. Mexico Phone Number List The most important words in the passage and topic (central terms) are scored with a higher importance score,