Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Style Control for Schema-Guided Natural Language Generation
Alicia Y. Tsai
, Shereen Oraby
, Vittorio Perera
, Jiun Yu Kao
, Yuheng Du
, Anjali Narayan-Chen
, Tagyoung Chung
,
Dilek Hakkani-Tur
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Style Control for Schema-Guided Natural Language Generation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Automatic Evaluation
33%
Conditional Training
66%
Content Generation
33%
Controlled Generation
33%
Decoding Method
33%
Descriptiveness
33%
Empathy
33%
Evaluation Metrics
33%
Formality
33%
Generation Method
33%
Human Evaluation
33%
Hyperparameter Tuning
33%
Joint Goals
33%
Natural Language Generation
100%
Pre-trained Language Model
33%
Response Length
33%
Schema-guided
100%
Semantic Correctness
66%
Specific Content
33%
Style Control
100%
Stylistic Variation
33%
Systems Focus
33%
Task-oriented Dialogue System
33%
Arts and Humanities
Controlled
25%
Correctness
50%
Dialog
25%
Empathy
25%
Formality
25%
Language generation
100%
Limitations
25%
Metrics
25%
Sentiment
25%
Stylistic variation
25%
Stylistics
100%
Task-oriented dialogue
25%
Computer Science
Dialog System
33%
Discriminator
33%
Evaluation Metric
33%
Language Modeling
33%
Natural Language Generation
100%
Earth and Planetary Sciences
Discriminator
100%