Absolute Semantic Recognition Competition: Feature Design, Modeling Strategy, and Core Algorithm Insights

This article presents a comprehensive solution to the absolute semantic recognition competition, detailing the problem background, dataset, evaluation metrics, feature engineering, model architecture—including Attention, Capsule, Bi‑GRU, and BERT—and analysis of results and lessons learned.

BERTCapsule NetworksMachine Learning

0 likes · 11 min read

Absolute Semantic Recognition Competition: Feature Design, Modeling Strategy, and Core Algorithm Insights

JD Retail Technology

Jul 17, 2019 · Artificial Intelligence

JDATA Absolute Semantic Recognition Challenge – Competition Summary and Winners

The JDATA Absolute Semantic Recognition Challenge concluded on July 15 with eight finalist teams presenting their models, the champion "Label Team" using BERT, judges highlighting data cleaning, model fusion, and the distinction between absolute and contextual words, and a detailed ranking of all participating groups.

BERTJD.comNLP

0 likes · 6 min read

JDATA Absolute Semantic Recognition Challenge – Competition Summary and Winners