Skip to main navigation
Skip to search
Skip to main content
National Taiwan Normal University Home
Help & FAQ
English
中文
Home
Profiles
Research units
Research output
Projects
Press/Media
Datasets
Activities
Prizes
Student theses
Search by expertise, name or affiliation
An Innovative BERT-Based Readability Model
Hou Chiang Tseng
,
Hsueh Chih Chen
,
Kuo En Chang
,
Yao Ting Sung
*
,
Berlin Chen
*
Corresponding author for this work
Department of Educational Psychology and Counseling
Graduate Institute of Information and Computer Education
Department of Computer Science and Information Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
19
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An Innovative BERT-Based Readability Model'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
INIS
levels
100%
transformers
100%
prediction
83%
china
50%
performance
16%
learning
16%
information
16%
assessments
16%
errors
16%
capture
16%
processing
16%
accuracy
16%
classification
16%
benchmarks
16%
retention
16%
Computer Science
Bidirectional Encoder Representations From Transformers
100%
Level Representation
100%
Prediction Model
80%
Syntactics
20%
Classification Models
20%
Benchmark Task
20%
Preprocessing
20%
Transformer Model
20%