Projects per year
Personal profile
Biography
My main research interests are: natural and formal language processing, in particular: controlled natural languages, answer extraction, knowledge representation, (probabilistic) logic programming, and the Semantic Web.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Policy Automation: Reconstructing Policy Documents for Objective Decision Making
1/08/18 → …
Project: Research
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Provably Correct Business Rules and Processes - Proof of Concept (POC)
1/10/11 → 30/11/11
Project: Research
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Natural language-based conceptual modelling frameworks: state of the art and future opportunities
Hossain, B. A., Mukta, M. S. H., Islam, M. A., Zaman, A. & Schwitter, R., Jan 2024, In: ACM Computing Surveys. 56, 1, p. 1-26 26 p., 12.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Error-free smart legal contracts without programmers
Purnell, K. & Schwitter, R., 2023, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 385, p. 387-389 3 p.Research output: Contribution to journal › Conference paper
Open Access -
User-guided machine understanding of legal documents
Purnell, K. & Schwitter, R., 2023, New frontiers in artificial intelligence: JSAI-isAI 2021 Workshops, JURISIN, LENLS18, SCIDOCA, Kansei-AI, AI-BIZ, Yokohama, Japan, November 13–15, 2021, revised selected papers. Yada, K., Takama, Y., Mineshima, K. & Satoh, K. (eds.). Cham: Springer, Springer Nature, p. 16-32 17 p. (Lecture Notes in Artificial Intelligence; vol. 13856).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Declarative smart contract testing by domain experts
Purnell, K. J. & Schwitter, R., 2022, Proceedings of the 16th International Rule Challenge and 6th Doctoral Consortium @ RuleML+RR 2022 (RuleML+RR-Companion 2022). Arndt, D., Soylu, A., Vanthienen, J., Kharlamov, E. & Steen, A. (eds.). Aachen, Germany: CEUR Workshop Proceedings, p. 1-15 15 p. (CEUR Workshop Proceedings; vol. 3229).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile1 Citation (Scopus)68 Downloads (Pure) -
HESIP: a hybrid system for explaining sub-symbolic predictions
Salam, A., Schwitter, R. & Orgun, M. A., 2022, AI 2021: Advances in Artificial Intelligence: 34th Australasian Joint Conference, AI 2021 Sydney, NSW, Australia, February 2–4, 2022, Proceedings. Long, G., Yu, X. & Wang, S. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 27-39 13 p. (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); vol. 13151).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
1 Citation (Scopus)
Prizes
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Winner - Faculty of Science and Engineering Award for Inter-School Collaboration - 2023
Nayak, A. (Recipient), Mahmood, A. (Recipient), Beheshti, A. (Recipient), McIver, A. (Recipient), Bilgin, A. (Recipient), Liquet-Weiland, B. (Recipient), Svensson, C. (Recipient), Ramakrishnan, C. (Recipient), Smith, C. (Recipient), Molla-Aliod, D. (Recipient), Vatsalan, D. (Recipient), Xue, E. (Recipient), Gupta, G. (Recipient), Sofronov, G. (Recipient), Baker, G. (Recipient), Liu, G. (Recipient), Asghar, H. (Recipient), Doosti, H. (Recipient), Zhu, H. (Recipient), Jiang, I. (Recipient), Zheng, J. (Recipient), Lin, H. (Recipient), Wu, J. (Recipient), Ma, J. (Recipient), Binkowski, K. (Recipient), Dras, M. (Recipient), Manuguerra, M. (Recipient), Orgun, M. (Recipient), Lay, M. (Recipient), Zou, N. (Recipient), Kordzakhia, N. (Recipient), Busch, P. (Recipient), Graham, P. (Recipient), Schwitter, R. (Recipient), Chen, S. (Recipient), Smith, S. (Recipient), Cassidy, S. (Recipient), Prvan, T. (Recipient), Fung, T. (Recipient), Li, Y. (Recipient), Wang, Y. (Recipient), Zhang, Y. (Recipient) & Zhou, Y. (Recipient), 2023
Prize: Other distinction