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
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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
2 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)72 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
Prizes
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Winner - Faculty of Science and Engineering Award for Inter-School Collaboration - 2023
Nayak, Abhaya (Recipient), Mahmood, Adnan (Recipient), Beheshti, Amin (Recipient), McIver, Annabelle (Recipient), Bilgin, Ayse (Recipient), Liquet-Weiland, Benoit (Recipient), Svensson, Carl (Recipient), Ramakrishnan, Charanya (Recipient), Smith, Connor (Recipient), Molla-Aliod, Diego (Recipient), Vatsalan, Dinusha (Recipient), Xue, Emma (Recipient), Gupta, Gaurav (Recipient), Sofronov, Georgy (Recipient), Baker, Greg (Recipient), Liu, Guanfeng (Recipient), Asghar, Hassan (Recipient), Doosti, Hassan (Recipient), Zhu, Houying (Recipient), Jiang, Iris (Recipient), Zheng, James (Recipient), Lin, Huan (Recipient), Wu, Jia (Recipient), Ma, Jun (Recipient), Binkowski, Karol (Recipient), Dras, Mark (Recipient), Manuguerra, Maurizio (Recipient), Orgun, Mehmet (Recipient), Lay, Michael (Recipient), Zou, Nan (Recipient), Kordzakhia, Nino (Recipient), Busch, Peter (Recipient), Graham, Petra (Recipient), Schwitter, Rolf (Recipient), Chen, Shan (Recipient), Smith, Stephen (Recipient), Cassidy, Steve (Recipient), Prvan, Tania (Recipient), Fung, Thomas (Recipient), Li, Yan (Recipient), Wang, Yan (Recipient), Zhang, Yang (Recipient) & Zhou, Yipeng (Recipient), 2023
Prize: Other distinction