Devices and methods for generating article tag data
CN116187477BActive Publication Date: 2026-05-26ACER INC
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ACER INC
- Filing Date
- 2021-11-29
- Publication Date
- 2026-05-26
AI Technical Summary
Technical Problem
In existing technologies, the labeling process for training data is time-consuming and error-prone, leading to poor or incorrect model training performance.
Method used
The processor performs word segmentation, named entity recognition, and expanded list judgment, automatically generating labeled data, including word segmentation results and expanded entity category conversion. The output labeled data is used to train the model.
Benefits of technology
It enables automated and accurate generation of labeled data, saving labor costs, improving model training efficiency, and expanding the recognition range of named entity recognition models.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116187477B_ABST
Abstract
This invention provides an apparatus and method for generating article tag data. The method for generating article tag data includes: performing word segmentation on the article to generate a word segmentation result; performing named entity recognition processing on the word segmentation result to generate a first recognition result; determining whether the word segmentation result includes any character group in the expanded list; performing expanded entity category conversion on the first recognition result to generate a second recognition result; and using the second recognition result and the word segmentation result as tag data.
Need to check novelty before this filing date? Find Prior Art