Methods › Natural Language Processing › Language Models › GEE

Generative Emotion Estimator

GEE

12 papers tagged archive 2025-07-28

Introduced by Hyunwoo Kim et al. in Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

12 shown of 12, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 26 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Code Generation2
Change Detection1
Classification1
Code Translation1
Computational Efficiency1
Conformal Prediction1
Decision Making1
Dialogue Generation1
Earth Observation1
Emotion Recognition1
Empathetic Response Generation1
Grammatical Error Correction1
Graph Embedding1
In-Context Learning1
Knowledge Base Construction1
Prediction1
Question Generation1
Question-Generation1
RAG1
Recognizing Emotion Cause in Conversations1

Usage over time archive 2025-07-28

Papers per year tagged with GEE: 2021 to 2025, peak 4 4 0 2021: 1 paper 2021 2022: 1 paper 2022 2023: 3 papers 2023 2024: 4 papers 2024 2025: 3 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (12 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Language ModelsGenerative Models

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