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