The following are the four shared tasks, one of which you should choose as a part of your mini-project:

1) HateNorm: Identification of Tokens Contributing to Explicit Hate in Text by Hate Span Detection
    Competition Link: https://www.kaggle.com/competitions/hatenorm/
    References:
a) Hate Normalization via Span Detection: https://arxiv.org/abs/2206.04007
b) Toxic Span Detection: https://aclanthology.org/2021.semeval-1.6/

2) EDiReF - ERC: Emotion Recognition in Conversation in Hindi-English code-mixed conversations
    Competition Link: https://codalab.lisn.upsaclay.fr/competitions/17086
    Reference: https://lcs2.in/SemEval2024-EDiReF/

3) CLAIMSCAN TASK A: Uncovering Truth in Social Media through Claim Detection
    Competition Link: https://www.kaggle.com/competitions/claimscan-task-a
    Reference: https://arxiv.org/abs/2310.19267

4) CLAIMSCAN TASK B: Uncovering Truth in Social Media through Identification of Claim Spans
    Competition Link: https://codalab.lisn.upsaclay.fr/competitions/17117
    Reference: https://arxiv.org/abs/2310.19267

5) Counterspeeches up my sleeve! Intent Distribution Learning for CounterSpeech Generation
    Competition Link: https://codalab.lisn.upsaclay.fr/competitions/18537
    Reference Paper: https://arxiv.org/abs/2305.13776

6) Sarcasm Detection: The task is about detecting whether a given text is sarcastic or not.
    Reference paper 1:  Sarcasm Detection: A Comparative Study
    Reference paper 2: Techniques of Sarcasm Detection: A Review
    Reference paper 3: Sarcasm Detection Using an Ensemble Approach
    Reference paper 4: Sarcasm Detection Using Deep Learning With Contextual Features
    Reference paper 5: Context-Aware Sarcasm Detection Using BERT
    Competition link: https://www.kaggle.com/competitions/sarcasmdetect

7) Detection of Hate Speech Against Immigrants and Women in Twitter
    Reference: https://aclanthology.org/S19-2007.pdf 
    Reference: https://journals.sagepub.com/doi/epub/10.1177/2158244020973022
    Competition link: https://www.kaggle.com/t/ff1ac249d4194bcdb047b18d6fd1c5f4

8) Characterizing the Entities in Harmful Memes: The objective is to categorize entities into one of Hero/Villain/Victim
    role w.r.t. the meme's context (the annotations are done from the meme author's perspective). If an entity doesn't fall
    into one of those three then it can be tagged as 'other'.
    Reference paper 1: Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?
    Competition link: https://www.kaggle.com/competitions/hero-villain-or-victim

Use this Excel sheet for group formation and project finalization.  If you want to propose a new project, it is mandatory to consult with the instructor. Group size: Min: 1, Max: 3. Last date to submit the team and the project is Jan 20, 2024.