Summary of Amazutah_nlp at Semeval-2024 Task 9: a Multichoice Question Answering System For Commonsense Defying Reasoning, by Mina Ghashami et al.
AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning
by Mina Ghashami, Soumya Smruti Mishra
First submitted to arxiv on: 16 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, the SemEval 2024 BRAINTEASER task introduces a new direction in Natural Language Processing (NLP) by focusing on lateral thinking, an underexplored aspect of cognitive reasoning. The challenge consists of Sentence Puzzle and Word Puzzle subtasks, which assess language models’ ability to think divergently. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary The SemEval 2024 BRAINTEASER task is a unique opportunity for language models to demonstrate their capacity for creative problem-solving. By tackling puzzle-like challenges, these models can showcase their lateral thinking abilities, often overlooked in traditional linguistic analyses. |
Keywords
» Artificial intelligence » Natural language processing » Nlp