ANLP_WS24_CA2

Master MDS Use NLP techniques to analyse texts or to build an application. Document your approach.

TODOS

data

• maybe buffer zone between good and bad jokes (trade off would be less data)

• maybe not bineary classification

• maybe change to humor detection (more data available)

• dataset shape doesnt work correctly

• history: integrate validation loss

Data

https://competitions.codalab.org/competitions/27446

https://aclanthology.org/2021.semeval-1.9.pdf#:~:text=HaHackathon%20is%20the%20first%20shared%20task%20to%20combine,its%20average%20ratings%20for%20both%20humor%20and%20offense.

• Hackathon: https://homepages.inf.ed.ac.uk/s1573290/data.html

Data embeddings

• gloVe 6B tokens: https://nlp.stanford.edu/projects/glove/

Not Prioritised (Pun data)

• Challenge https://alt.qcri.org/semeval2017/task7/
• Pun Annotated Amazon (joke not included ...): https://github.com/amazon-science/expunations/tree/main/data