Research output per year
Research output per year
Search results
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2023
Focused Contrastive Loss for Classification With Pre-Trained Language Models
He, J., Li, Y., Zhai, Z., Fang, B., Thorne, C., Druckenbrodt, C., Akhondi, S. & Verspoor, K., Nov 3 2023, In: IEEE Transactions on Knowledge and Data Engineering.Research output: Contribution to journal › Article › peer-review
Open Access -
2021
A pre-trained Language Model for Chemical Patents
He, J., Zhai, Z., Akhondi, S., Drukenbrodt, C., Thorne, C., Yoshikawa, H. & Verspoor, K., 2021, In: International Conference Recent Advances in Natural Language Processing, RANLP.Research output: Contribution to journal › Article › peer-review
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ChemTables: a dataset for semantic classification on tables in chemical patents
Zhai, Z., Druckenbrodt, C., Thorne, C., Akhondi, S. A., Nguyen, D. Q., Cohn, T. & Verspoor, K., Dec 2021, In: Journal of Cheminformatics. 13, 1, 97.Research output: Contribution to journal › Article › peer-review
Open Access -
ChemTables: A Dataset for Semantic Classification of Tables in Chemical Patents.
Zhai, Z., Drukenbrodt, C., Thorne, C., Akhondi, S., Nguyen, D. Q., Cohn, T. & Verspoor, K., 2021, In: Research Square preprint.Research output: Contribution to journal › Article › peer-review
Open Access -
Natural Language Processing Methods are Effective for Information Extraction from Chemical Patents. Under review at Frontiers i n Research Metrics and Analytics, section Text-mining and Literature-based Discovery
He, J., Nguyen, D. Q., Akhondi, S., Drukenbrodt, C., Thorne, C., Hoessel, R., Afzal, Z., Zhai, Z., Fang, B., Yoshikawa, H., Albahem, A., Cavedon, L., Cohn, T., Baldwin, T. & Verspoor, K., 2021, In: Frontiers in Bioscience - Landmark.Research output: Contribution to journal › Article › peer-review
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Overview of ChEMU 2021: Reaction Reference Resolution and Anaphora Resolution in Chemical Patents
Li, Y., Fang, B., He, J., Yoshikawa, H., Akhondi, S., Drukenbrodt, C., Thorne, C., Afzal, Z., Zhai, Z., Baldwin, T. & Verspoor, K., 2021, In: International Conference of the Cross-Language Evaluation Forum for European Languages. p. 292-307 16 p.Research output: Contribution to journal › Article › peer-review