Christian Drukenbrodt – Research output — Elsevier's Research Collaborations

Research activity per year

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3 Article
2 Conference contribution
2 Paper
1 Chapter

3 results

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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
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