publications

* denotes equal contribution

An up-to-date list is available on Google Scholar.

2024

  1. MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries
    Mohamed Elgaar, Jiali Cheng, Nidhi Vakil, Hadi Amiri, and 1 more author
    In Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024
  2. Controlled Transformation of Text-Attributed Graphs
    Nidhi Vakil, and Hadi Amiri
    In Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024
  3. CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech
    Jiali Cheng, Mohamed Elgaar, Nidhi Vakil, and Hadi Amiri
    CoRR, 2024
  4. MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries
    Mohamed Elgaar, Jiali Cheng, Nidhi Vakil, Hadi Amiri, and 1 more author
    CoRR, 2024

2023

  1. Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach
    Nidhi Vakil, and Hadi Amiri
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023
  2. Complexity-Guided Curriculum Learning for Text Graphs
    Nidhi Vakil, and Hadi Amiri
    In Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023

2022

  1. Generic and Trend-aware Curriculum Learning for Relation Extraction
    Nidhi Vakil, and Hadi Amiri
    In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022

2021

    2020