AmirAbaskohi / SemEval2022-Task6-Sarcasm-Detection
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 …
☆17Updated last year
Alternatives and similar repositories for SemEval2022-Task6-Sarcasm-Detection:
Users that are interested in SemEval2022-Task6-Sarcasm-Detection are comparing it to the libraries listed below
- ☆11Updated 4 years ago
- OffensEval2020 Shared Task☆17Updated 4 years ago
- Sarcasm Detection Using Emoji and Text Analysis☆10Updated 5 years ago
- Probing and Generalization of Metaphorical Knowledge in Pre-Trained Language Modelss[ACL 2022]☆21Updated 2 years ago
- ABSA Toolkit☆11Updated 7 years ago
- ☆66Updated 4 years ago
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆70Updated 5 years ago
- This is official code for the NAACL 2021 paper: "MelBERT: Metaphor Detection via Contextualized Late Interaction usingMetaphorical Identi…☆49Updated 2 years ago
- ☆27Updated 3 years ago
- A paper list for aspect based sentiment analysis.☆138Updated 11 months ago
- Code for SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics (ACL'2020).☆79Updated 4 years ago
- To build multilingual models with English-only training data to find the toxicity among Mutilingual Comments☆9Updated 4 years ago
- code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"☆40Updated 4 years ago
- BERT Fine-tuning for Aspect Based Sentiment Analysis☆28Updated 2 years ago
- Pretrained BERT model for analysing COVID-19 Twitter data☆185Updated 2 years ago
- SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis☆44Updated 2 years ago
- A Framework for Textual Entailment based Zero Shot text classification☆152Updated last year
- Detect toxic spans in toxic texts☆68Updated last year
- Data and code for the paper COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic.☆39Updated 3 months ago
- ☆29Updated last year
- Instructional learning for Aspect Based Sentiment Analysis [NAACL-2024]☆157Updated 10 months ago
- A repo to explore different NLP tasks which can be solved using T5☆172Updated 4 years ago
- ☆16Updated 4 years ago
- Bilingual (Arabic/English) COVID-19 Twitter dataset for misleading information detection☆18Updated 4 years ago
- SemEval-2022 Shared Task 10: Structured Sentiment Analysis☆78Updated 3 years ago
- Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.☆205Updated last year
- Natural Language Processing☆19Updated 8 months ago
- ☆90Updated 3 years ago
- ☆24Updated 2 years ago
- ☆22Updated last year