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How Search Engines Actually Answer Your Questions

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Manage episode 520671226 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/how-search-engines-actually-answer-your-questions.
Modern search Q&A explained: how knowledge graphs, DeepQA, and MRC turn messy web pages into direct, trustworthy answers.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #nlp, #deep-learning, #knowledge-graph, #how-do-search-engines-work, #search-engines, #kbqa-vs-deepqa, #hackernoon-top-story, and more.
This story was written by: @superorange0707. Learn more about this writer by checking @superorange0707's about page, and for more stories, please visit hackernoon.com.
Modern search Q&A is basically two engines working together: a knowledge-graph engine (KBQA) that’s great at hard facts, and a deep neural engine (DeepQA + MRC) that reads messy web pages like a speed-reading grad student. Around them is a lot of plumbing: data pipelines, retrieval, ranking, fusion, robustness tricks like R-Drop, and even opinion classification on top of long evidence passage

  continue reading

458 episoade

Artwork
iconDistribuie
 
Manage episode 520671226 series 3474148
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/how-search-engines-actually-answer-your-questions.
Modern search Q&A explained: how knowledge graphs, DeepQA, and MRC turn messy web pages into direct, trustworthy answers.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #nlp, #deep-learning, #knowledge-graph, #how-do-search-engines-work, #search-engines, #kbqa-vs-deepqa, #hackernoon-top-story, and more.
This story was written by: @superorange0707. Learn more about this writer by checking @superorange0707's about page, and for more stories, please visit hackernoon.com.
Modern search Q&A is basically two engines working together: a knowledge-graph engine (KBQA) that’s great at hard facts, and a deep neural engine (DeepQA + MRC) that reads messy web pages like a speed-reading grad student. Around them is a lot of plumbing: data pipelines, retrieval, ranking, fusion, robustness tricks like R-Drop, and even opinion classification on top of long evidence passage

  continue reading

458 episoade

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