Niloofer Shanavas

Research activity per year

Fingerprint

Dive into the research topics where Niloofer Shanavas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

7 Conference contribution
4 Article
2 Book

Struct2Unstruct: Creating Tender NER Datasets from Structured Procurement Records using Large Language Models
Abbas, A., Lee, M., Shanavas, N., Kovatchev, V. & Ali, M., 11 May 2026, The Fourth Workshop on the Role of Resources in the Age of Large Language Models (RESOURCEFUL 2026) @ LREC 2026: Workshop Proceedings. Morger, F., Ilinykh, N., Scalvini, B., Dobnik, S. & Dannélls, D. (eds.). p. 96-106 11 p. (NEALT Proceedings Series).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
454 Downloads (Pure)
Harnessing Open-Source LLMs for Tender Named Entity Recognition
Abbas, A., Kovatchev, V., Lee, M., Shanavas, N. & Ali, M., 30 Sept 2025, Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing: Natural Language Processing in the Generative AI Era. Angelova, G., Kunilovskaya, M., Escribe, M. & Mitkov, R. (eds.). Incoma Ltd, p. 1-10 10 p. (International conference Recent advances in natural language processing).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
7 Downloads (Pure)
MTNER: Multiple Tender Named Entities Recognition and Classification from unstructured tender documents
Abbas, A., Lee, M., Kovatchev, V. & Shanavas, N., 2025, Proceedings of the 19th International Conference on Ubiquitous Information Management and Communication. IEEE Press / Wiley
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Structured Tender Entities Extraction from Complex Tables with Few-short Learning
Abbas, A., Lee, M., Shanavas, N., Kovatchev, V. & Ali, M., 31 Jan 2025, Proceedings of the 1st Regulatory NLP Workshop (RegNLP 2025). Gokhan, T., Wang, K., Gurevych, I. & Briscoe, T. (eds.). Association for Computational Linguistics, ACL, p. 59-67 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
11 Downloads (Pure)
Clinical concept annotation with contextual word embedding in active transfer learning environment
Abbas, A., Lee, M., Shanavas, N. & Kovatchev, V., 19 Dec 2024, In: Digital Health . 10, p. 1-31 31 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
115 Downloads (Pure)

Niloofer Shanavas

Fingerprint

Research output

Struct2Unstruct: Creating Tender NER Datasets from Structured Procurement Records using Large Language Models

Harnessing Open-Source LLMs for Tender Named Entity Recognition

MTNER: Multiple Tender Named Entities Recognition and Classification from unstructured tender documents

Structured Tender Entities Extraction from Complex Tables with Few-short Learning

Clinical concept annotation with contextual word embedding in active transfer learning environment