NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning

Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, Cheryl Seals


Abstract
The intended sarcasm cannot be understood until the listener observes that the text’s literal meaning violates truthfulness. Consequently, words and meanings play an essential role in specifying sarcasm. Enriched feature extraction techniques were proposed to capture both words and meanings in the contexts. Due to the overlapping features in sarcastic and non-sarcastic texts, a CNN model extracts local features from the combined class-dependent statistical embedding of sarcastic texts with contextualized embedding. Another component BiLSTM extracts long dependencies from combined non-sarcastic statistical and contextualized embeddings. This work combines a classifier that uses the combined high-level features of CNN and BiLSTM for sarcasm detection to produce the final predictions. The experimental analysis presented in this paper shows the effectiveness of the proposed method.
Anthology ID:
2022.semeval-1.120
Volume:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
Month:
July
Year:
2022
Address:
Seattle, United States
Editors:
Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
862–870
Language:
URL:
https://aclanthology.org/2022.semeval-1.120
DOI:
10.18653/v1/2022.semeval-1.120
Bibkey:
Cite (ACL):
Mostafa Rahgouy, Hamed Babaei Giglou, Taher Rahgooy, and Cheryl Seals. 2022. NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 862–870, Seattle, United States. Association for Computational Linguistics.
Cite (Informal):
NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning (Rahgouy et al., SemEval 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.semeval-1.120.pdf
Data
iSarcasmiSarcasmEval