| Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition Z Zhai, DQ Nguyen, K Verspoor arXiv preprint arXiv:1808.08450, 2018 | 52 | 2018 |
| Improving chemical named entity recognition in patents with contextualized word embeddings Z Zhai, DQ Nguyen, SA Akhondi, C Thorne, C Druckenbrodt, T Cohn, ... arXiv preprint arXiv:1907.02679, 2019 | 51 | 2019 |
| ChEMU: named entity recognition and event extraction of chemical reactions from patents DQ Nguyen, Z Zhai, H Yoshikawa, B Fang, C Druckenbrodt, C Thorne, ... Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 38 | 2020 |
| Chemu 2020: Natural language processing methods are effective for information extraction from chemical patents J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, ... Frontiers in Research Metrics and Analytics 6, 654438, 2021 | 36 | 2021 |
| Overview of ChEMU 2020: named entity recognition and event extraction of chemical reactions from patents J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th …, 2020 | 34 | 2020 |
| Brief description of covid-see: The scientific evidence explorer for covid-19 related research K Verspoor, S Šuster, Y Otmakhova, S Mendis, Z Zhai, B Fang, JH Lau, ... Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 23 | 2021 |
| An extended overview of the CLEF 2020 ChEMU lab: information extraction of chemical reactions from patents J He, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, R Hoessel, ... Proceedings of the CLEF 2020 conference, 2020 | 18 | 2020 |
| Detecting chemical reactions in patents H Yoshikawa, DQ Nguyen, Z Zhai, C Druckenbrodt, C Thorne, ... Proceedings of the 17th Annual Workshop of the Australasian Language …, 2019 | 15 | 2019 |
| ChemTables: a dataset for semantic classification on tables in chemical patents Z Zhai, C Druckenbrodt, C Thorne, SA Akhondi, DQ Nguyen, T Cohn, ... Journal of Cheminformatics 13, 1-20, 2021 | 11 | 2021 |
| ChEMU dataset for information extraction from chemical patents K Verspoor, DQ Nguyen, SA Akhondi, C Druckenbrodt, C Thorne, ... Mendeley Data 2 (10), 17632, 2020 | 8 | 2020 |
| ChEMU 2021: reaction reference resolution and anaphora resolution in chemical patents J He, B Fang, H Yoshikawa, Y Li, SA Akhondi, C Druckenbrodt, C Thorne, ... Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 6 | 2021 |
| Overview of ChEMU 2021: reaction reference resolution and Anaphora resolution in chemical patents Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th …, 2021 | 4 | 2021 |
| Extended Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents. Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... CLEF (Working Notes), 693-709, 2021 | 3 | 2021 |
| Against The Achilles' Heel: A Survey on Red Teaming for Generative Models L Lin, H Mu, Z Zhai, M Wang, Y Wang, R Wang, J Gao, Y Zhang, W Che, ... arXiv preprint arXiv:2404.00629, 2024 | 2 | 2024 |
| Overview of ChEMU 2022 Evaluation Campaign: Information Extraction in Chemical Patents Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 2 | 2022 |
| The ChEMU 2022 evaluation campaign: information extraction in chemical patents Y Li, B Fang, J He, H Yoshikawa, SA Akhondi, C Druckenbrodt, C Thorne, ... European Conference on Information Retrieval, 400-407, 2022 | 2 | 2022 |
| Chemical reaction reference resolution in patents H Yoshikawa, S Akhondi, C Thorne, C Druckenbrodt, R Hoessel, Z Zhai, ... Proceedings of the 2nd Workshop on on Patent Text Mining and Semantic …, 2021 | 2 | 2021 |
| A bag-of-concepts model improves relation extraction in a narrow knowledge domain with limited data J Chen, K Verspoor, Z Zhai arXiv preprint arXiv:1904.10743, 2019 | 2 | 2019 |
| A Chinese Dataset for Evaluating the Safeguards in Large Language Models Y Wang, Z Zhai, H Li, X Han, L Lin, Z Zhang, J Zhao, P Nakov, T Baldwin arXiv preprint arXiv:2402.12193, 2024 | 1 | 2024 |
| Focused Contrastive Loss for Classification With Pre-Trained Language Models J He, Y Li, Z Zhai, B Fang, C Thorne, C Druckenbrodt, S Akhondi, ... IEEE Transactions on Knowledge and Data Engineering, 2023 | 1 | 2023 |
