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Nisansa de Silva

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
ORCID 0000-0002-5361-4810
same name
  • Nisansa de Silva — 5 papers, h 15
  • Nisansa de Silva — 5 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSome Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP World

5 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023

Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain

Gayashan Weerasundara, Nisansa de Silva

Many NLP tasks, although well-resolved for general English, face challenges in specific domains like fantasy literature. This is evident in Named Entity Recognition (NER), which de…

cs.CL2023★ 5 cited

Multi-document Summarization: A Comparative Evaluation

Kushan Hewapathirana, Nisansa de Silva, C. D. Athuraliya

This paper is aimed at evaluating state-of-the-art models for Multi-document Summarization (MDS) on different types of datasets in various domains and investigating the limitations…

cs.CL2023★ 3 cited

Sinhala-English Parallel Word Dictionary Dataset

Kasun Wickramasinghe, Nisansa de Silva

Parallel datasets are vital for performing and evaluating any kind of multilingual task. However, in the cases where one of the considered language pairs is a low-resource language…

cs.CL2022★ 5 cited

Some Languages are More Equal than Others: Probing Deeper into the Linguistic Disparity in the NLP World

Surangika Ranathunga, Nisansa de Silva

Linguistic disparity in the NLP world is a problem that has been widely acknowledged recently. However, different facets of this problem, or the reasons behind this disparity are s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.