| On the generalization abilities of fine-tuned commonsense language representation models K Shen, M Kejriwal Artificial Intelligence XXXVIII: 41st SGAI International Conference on …, 2021 | 16* | 2021 |
| An evaluation and annotation methodology for product category matching in e-commerce M Kejriwal, K Shen, CC Ni, N Torzec Computers in Industry 131, 103497, 2021 | 15 | 2021 |
| An experimental study measuring the generalization of fine‐tuned language representation models across commonsense reasoning benchmarks K Shen, M Kejriwal Expert Systems, e13243, 2023 | 13 | 2023 |
| Relation linking for wikidata using bag of distribution representation X Yang, S Ren, Y Li, K Shen, Z Li, G Wang Natural Language Processing and Chinese Computing: 6th CCF International …, 2018 | 8 | 2018 |
| Transfer-based taxonomy induction over concept labels M Kejriwal, K Shen, CC Ni, N Torzec Engineering Applications of Artificial Intelligence 108, 104548, 2022 | 7 | 2022 |
| COVID-19 vaccine hesitancy is positively associated with affective wellbeing M Kejriwal, K Shen PsyArXiv, 2021 | 6 | 2021 |
| A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense H Santos, K Shen, AM Mulvehill, M Kejriwal, DL McGuinness Data Intelligence, 1-28, 2023 | 5* | 2023 |
| Nearm: Natural language enhanced association rules mining S Ren, Z Li, H Wang, Y Li, K Shen, S Cheng 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 438-445, 2018 | 4 | 2018 |
| Understanding prior bias and choice paralysis in transformer-based language representation models through four experimental probes K Shen, M Kejriwal arXiv preprint arXiv:2210.01258, 2022 | 3 | 2022 |
| Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts M Kejriwal, K Shen Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 3 | 2021 |
| A data-driven study of commonsense knowledge using the conceptnet knowledge base K Shen, M Kejriwal arXiv preprint arXiv:2011.14084, 2020 | 3 | 2020 |
| Context-Rich Evaluation of Machine Common Sense M Kejriwal, H Santos, K Shen, AM Mulvehill, DL McGuinness International Conference on Artificial General Intelligence, 167-176, 2023 | 2 | 2023 |
| Using conditional inference to quantify interaction effects of socio-demographic covariates of US COVID-19 vaccine hesitancy K Shen, M Kejriwal PLOS Global Public Health 3 (5), e0001151, 2023 | 2 | 2023 |
| Affective Correlates of Metropolitan Food Insecurity and Misery during COVID-19 M Kejriwal, K Shen PsyArXiv, 2021 | 2 | 2021 |
| A Lightweight Global Taxonomy Induction System for E-Commerce Concept Labels M Kejriwal, K Shen Cyber Security and Social Media Applications, 99-114, 2023 | 1 | 2023 |
| Understanding Substructures in Commonsense Relations in ConceptNet K Shen, M Kejriwal arXiv preprint arXiv:2210.01263, 2022 | 1 | 2022 |
| Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks? M Kejriwal, K Shen arXiv preprint arXiv:2203.06491, 2022 | 1 | 2022 |
| A noise audit of human-labeled benchmarks for machine commonsense reasoning M Kejriwal, H Santos, K Shen, AM Mulvehill, DL McGuinness Scientific Reports 14 (1), 8609, 2024 | | 2024 |
| Quantifying confidence shifts in a BERT-based question answering system evaluated on perturbed instances K Shen, M Kejriwal Plos one 18 (12), e0295925, 2023 | | 2023 |
| TG-CSR: A human-labeled dataset grounded in nine formal commonsense categories H Santos, AM Mulvehill, K Shen, M Kejriwal, DL McGuinness Data in Brief 51, 109666, 2023 | | 2023 |
