Update README.md
Browse files
README.md
CHANGED
@@ -48,6 +48,24 @@ dataset_info:
|
|
48 |
download_size: 1038853
|
49 |
dataset_size: 7299373
|
50 |
---
|
51 |
-
#
|
52 |
|
53 |
-
[
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
48 |
download_size: 1038853
|
49 |
dataset_size: 7299373
|
50 |
---
|
51 |
+
# EPIC_Irony
|
52 |
|
53 |
+
- 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
|
54 |
+
|
55 |
+
Key features:
|
56 |
+
|
57 |
+
- EPIC (English Perspectivist Irony Corpus) is the first annotated corpus specifically created for irony analysis based on the principles of data perspectivism.
|
58 |
+
- The corpus contains short social media conversations in five regional varieties of English, annotated by contributors from five countries corresponding to those varieties.
|
59 |
+
- The analysis of the resource considers the perspectives of the annotators in terms of origin, age, and gender, and the relationship between these dimensions, irony, and the topics of conversation.
|
60 |
+
- To validate EPIC, perspective-aware models are created that encode the perspectives of annotators based on their demographic characteristics.
|
61 |
+
- The performance of perspectivist models confirms that different annotators induce very different models.
|
62 |
+
- In classifying ironic and non-ironic texts, perspectivist models prove to be generally more confident than non-perspectivist ones.
|
63 |
+
- Perspectivist models tend to more accurately detect ironic language, indicating their ability to capture the different perceptions of irony.
|
64 |
+
- The models reveal interesting insights about the variation in the perception of irony among different groups of annotators, such as among different generations and nationalities.
|
65 |
+
- The EPIC corpus provides a useful resource for training perspective-aware models for irony detection, and highlights the influence of demographic factors on the perception and understanding of irony.
|
66 |
+
|
67 |
+
Metadata in Creative Language Toolkit ([CLTK](https://github.com/liyucheng09/cltk))
|
68 |
+
- CL Type: Irony
|
69 |
+
- Task Type: detection
|
70 |
+
- Size: 14k
|
71 |
+
- Created time: 2023
|