NLPExplorer

BEA - 2024

Total Papers:- 59

Total Papers accross all years:- 437

Total Citations :- 0

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Can GPT-4 do L2 analytic assessment?

Stefano Banno | Hari Krishna Vydana | Kate Knill | Mark Gales |

Identifying Fairness Issues in Automatically Generated Testing Content

Kevin Stowe |

Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions

A World CLASSE Student Summary Corpus

Scott Crossley | Perpetual Baffour | Mihai Dascalu | Stefan Ruseti |

Using Large Language Models to Assess Young Students’ Writing Revisions

Improving Socratic Question Generation using Data Augmentation and Preference Optimization

Nischal Ashok Kumar | Andrew Lan |

ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models

Utilizing Machine Learning to Predict Question Difficulty and Response Time for Enhanced Test Construction

Rishikesh Fulari | Jonathan Rusert |

Automated Scoring of Clinical Patient Notes: Findings From the Kaggle Competition and Their Translation into Practice

LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches

Imran Chamieh | Torsten Zesch | Klaus Giebermann |

Using Adaptive Empathetic Responses for Teaching English

Li Siyan | Teresa Shao | Julia Hirschberg | Zhou Yu |

The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline

Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory

Kosuke Doi | Katsuhito Sudoh | Satoshi Nakamura |

TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?