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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)

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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