Recent publications
Book
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2019, Structure-Based Supervised Term Weighting and Regularization for Text Classification. https://doi.org/10.1007/978-3-030-23281-8_9
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2016, Supervised graph-based term weighting scheme for effective text classification. https://doi.org/10.3233/978-1-61499-672-9-1710
Article
Abbas, A, Lee, M, Shanavas, N & Kovatchev, V 2024, 'Clinical concept annotation with contextual word embedding in active transfer learning environment', Digital Health , vol. 10, pp. 1-31. https://doi.org/10.1177/20552076241308987
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2021, 'Knowledge-driven graph similarity for text classification', International Journal of Machine Learning and Cybernetics, vol. 12, pp. 1067–1081. https://doi.org/10.1007/s13042-020-01221-4
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2020, 'Ontology-based enriched concept graphs for medical document classification', Information Sciences. https://doi.org/10.1016/j.ins.2020.03.006
Shanavas, N & Asokan, S 2014, 'Semantic approach utilizing data mining and case-based reasoning for it support service', International Research Journal of Engineering and Technology (IRJET).
Conference contribution
Abbas, A, Lee, M, Shanavas, N, Kovatchev, V & Ali, M 2026, Struct2Unstruct: Creating Tender NER Datasets from Structured Procurement Records using Large Language Models. in F Morger, N Ilinykh, B Scalvini, S Dobnik & D Dannélls (eds), The Fourth Workshop on the Role of Resources in the Age of Large Language Models (RESOURCEFUL 2026) @ LREC 2026: Workshop Proceedings. NEALT Proceedings Series, pp. 96-106, Fourth international workshop on the role of resources in the age of large language models, Palma, Spain, 11/05/26. <https://resourceful-workshop.github.io/resourceful-2026/index.html>
Abbas, A, Kovatchev, V, Lee, M, Shanavas, N & Ali, M 2025, Harnessing Open-Source LLMs for Tender Named Entity Recognition. in G Angelova, M Kunilovskaya, M Escribe & R Mitkov (eds), Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing: Natural Language Processing in the Generative AI Era. International conference Recent advances in natural language processing, Incoma Ltd, pp. 1-10, International Conference Recent Advances in Natural Language Processing 2025, Varna, Bulgaria, 8/09/25. <https://aclanthology.org/2025.ranlp-1.1/>
Abbas, A, Lee, M, Kovatchev, V & Shanavas, N 2025, MTNER: Multiple Tender Named Entities Recognition and Classification from unstructured tender documents. in Proceedings of the 19th International Conference on Ubiquitous Information Management and Communication. IEEE Press / Wiley, 19th International Conference on Ubiquitous Information Management and Communication, Bangkok, Thailand, 3/01/25.
Abbas, A, Lee, M, Shanavas, N, Kovatchev, V & Ali, M 2025, Structured Tender Entities Extraction from Complex Tables with Few-short Learning. in T Gokhan, K Wang, I Gurevych & T Briscoe (eds), Proceedings of the 1st Regulatory NLP Workshop (RegNLP 2025). Association for Computational Linguistics, ACL, pp. 59-67, Regulatory Natural Language Processing Workshop 2025, Abu Dhabi, United Arab Emirates, 20/01/25. <https://aclanthology.org/2025.regnlp-1.9/>
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2018, Using graph-theoretic methods for text classification. in Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018).
Shanavas, N, Wang, H, Lin, Z & Hawe, G 2016, Centrality-Based Approach for Supervised Term Weighting. in IEEE International Conference on Data Mining Workshops, ICDMW. https://doi.org/10.1109/ICDMW.2016.0181
Shanavas, N & Asokan, S 2015, Ontology-based document mining system for IT support service. in Procedia Computer Science. https://doi.org/10.1016/j.procs.2015.02.028
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