In this paper, a graph-based coherence estimation method based on the cohesion estimation is suggested. Our method uses a graph-based approach to provide a user with an understanding of the evaluation process. Moreover, it can be applied to different languages, therefore, the effectiveness of this method is examined on the set of English, Chinese, and Arabic texts.
Enhancing Essay Cohesion Assessment: A Novel Item Response Theory Approach
CESAR School（CESAR学校）；Federal Institute of Espírito Santo（埃斯皮里图圣昂托尼奥联邦理工学院）；Computing Institute - Federal University of Alagoas（计算研究所-阿拉加斯联邦大学）；University of Melbourne（墨尔本大学）；AiBox Lab, Computing Department, Federal Rural University of Pernambuco（AiBox实验室，计算部门，佩纳布科斯联邦农村大学）；Centre for Learning Analytics, Monash University（学习分析中心，莫纳什大学）
Reading Between the Lines: Combining Pause Dynamics and Semantic Coherence for Automated Assessment of Thought Disorder
University of Washington（华盛顿大学）；University of Minnesota（明尼苏达大学）；Louisiana State University（路易斯安那州立大学）；Northwell Health（诺斯韦尔健康）；Feinstein Institutes for Medical Research（范斯坦医学研究所）；Donald and Barbara Zucker School of Medicine（唐纳德与芭芭拉·扎克医学院）；London Health Sciences Centre（伦敦健康科学中心）；McGill University（麦吉尔大学）；Douglas Mental Health University Institute（道格拉斯心理健康大学研究所）；Robarts Research Institute（罗巴茨研究所）；Western University（韦仕敦大学）
Validating FKG.in: Soundness Assessment in LLM-Augmented Indian Food Knowledge
Ashoka University（阿肖克大学）；Mphasis AI and Applied Tech Lab（美斐西斯人工智能与应用技术实验室）；Koita Centre for Digital Health, Ashoka University（阿肖克大学科伊塔数字健康中心）；Institute for Future Health, UC Irvine（加州大学欧文分校未来健康研究所）
