# EPIC_Irony

- paper: [EPIC: Multi-Perspective Annotation of a Corpus of Irony](https://assets.amazon.science/40/b4/0f6ec06a4a33a44485de1b2b57c7/epic-multi-perspective-annotation-of-a-corpus-of-irony.pdf) at ACL 2023

Key features:

- EPIC (English Perspectivist Irony Corpus) is an annotated corpus for irony analysis based on data perspectivism principles.
- The corpus contains social media conversations in five regional varieties of English, annotated by contributors from corresponding countries.
- The dataset explores the perspectives of annotators, taking into account their origin, age, and gender.
- Perspective-aware models were created to validate EPIC, and these proved more effective and confident in identifying irony than non-perspectivist models.
- The models showcase variation in irony perception across different demographic groups.
- EPIC serves as a valuable resource for training perspective-aware models for irony detection.

Metadata in Creative Language Toolkit ([CLTK](https://github.com/liyucheng09/cltk))
- CL Type: Irony
- Task Type: detection
- Size: 14k
- Created time: 2023
region:us
{"dataset_info": {"features": [{"name": "user", "dtype": "string"}, {"name": "label", "dtype": "string"}, {"name": "timestamp", "dtype": "string"}, {"name": "source", "dtype": "string"}, {"name": "subreddit", "dtype": "string"}, {"name": "id_original", "dtype": "string"}, {"name": "text", "dtype": "string"}, {"name": "parent_id_original", "dtype": "string"}, {"name": "parent_text", "dtype": "string"}, {"name": "Language_instance", "dtype": "string"}, {"name": "Language_variety", "dtype": "string"}, {"name": "Age", "dtype": "string"}, {"name": "Sex", "dtype": "string"}, {"name": "Ethnicity simplified", "dtype": "string"}, {"name": "Country of birth", "dtype": "string"}, {"name": "Country of residence", "dtype": "string"}, {"name": "Nationality", "dtype": "string"}, {"name": "Language_annotator", "dtype": "string"}, {"name": "Student status", "dtype": "string"}, {"name": "Employment status", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 7299373, "num_examples": 14172}], "download_size": 1038853, "dataset_size": 7299373}}
TAGS
#region-us 

# EPIC_Irony

- paper: EPIC: Multi-Perspective Annotation of a Corpus of Irony at ACL 2023

Key features:

- EPIC (English Perspectivist Irony Corpus) is an annotated corpus for irony analysis based on data perspectivism principles.
- The corpus contains social media conversations in five regional varieties of English, annotated by contributors from corresponding countries.
- The dataset explores the perspectives of annotators, taking into account their origin, age, and gender.
- Perspective-aware models were created to validate EPIC, and these proved more effective and confident in identifying irony than non-perspectivist models.
- The models showcase variation in irony perception across different demographic groups.
- EPIC serves as a valuable resource for training perspective-aware models for irony detection.

Metadata in Creative Language Toolkit (CLTK)
- CL Type: Irony
- Task Type: detection
- Size: 14k
- Created time: 2023
# EPIC_Irony

- paper: EPIC: Multi-Perspective Annotation of a Corpus of Irony at ACL 2023

Key features:

- EPIC (English Perspectivist Irony Corpus) is an annotated corpus for irony analysis based on data perspectivism principles.
- The corpus contains social media conversations in five regional varieties of English, annotated by contributors from corresponding countries.
- The dataset explores the perspectives of annotators, taking into account their origin, age, and gender.
- Perspective-aware models were created to validate EPIC, and these proved more effective and confident in identifying irony than non-perspectivist models.
- The models showcase variation in irony perception across different demographic groups.
- EPIC serves as a valuable resource for training perspective-aware models for irony detection.

Metadata in Creative Language Toolkit (CLTK)
- CL Type: Irony
- Task Type: detection
- Size: 14k
- Created time: 2023
TAGS
#region-us 
 # EPIC_Irony

- paper: EPIC: Multi-Perspective Annotation of a Corpus of Irony at ACL 2023

Key features:

- EPIC (English Perspectivist Irony Corpus) is an annotated corpus for irony analysis based on data perspectivism principles.
- The corpus contains social media conversations in five regional varieties of English, annotated by contributors from corresponding countries.
- The dataset explores the perspectives of annotators, taking into account their origin, age, and gender.
- Perspective-aware models were created to validate EPIC, and these proved more effective and confident in identifying irony than non-perspectivist models.
- The models showcase variation in irony perception across different demographic groups.
- EPIC serves as a valuable resource for training perspective-aware models for irony detection.

Metadata in Creative Language Toolkit (CLTK)
- CL Type: Irony
- Task Type: detection
- Size: 14k
- Created time: 2023