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Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

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A Neural Topic-Attention Model for Medical Term Abbreviation Disambiguation., , , , , , and . CoRR, (2019)Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts., , , , , and . CoRR, (2023)Efficient Variational Graph Autoencoders for Unsupervised Cross-domain Prerequisite Chains., , and . CoRR, (2021)KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques., , , , , , , , , and 1 other author(s). CoRR, (2024)Integrating UMLS Knowledge into Large Language Models for Medical Question Answering., , , , , and . CoRR, (2023)What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning., , , and . AAAI, page 6674-6681. AAAI Press, (2019)SParC: Cross-Domain Semantic Parsing in Context., , , , , , , , , and 9 other author(s). ACL (1), page 4511-4523. Association for Computational Linguistics, (2019)Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders., , , , and . ACL/IJCNLP (2), page 1005-1011. Association for Computational Linguistics, (2021)HiPool: Modeling Long Documents Using Graph Neural Networks., , , and . ACL (2), page 161-171. Association for Computational Linguistics, (2023)Medical Text Classification using Convolutional Neural Networks., , , and . CoRR, (2017)