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Nisansa de Silva

University of Oregon

29 papers hereh-index 6101 citations30 works total

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

author position
  • sole author1
  • middle author16
  • last author11

Across the 28 of 29 papers where every author was matched, so the position is known.

fields
  • cs.CL22
  • cs.SE2
  • cs.CE1
  • cs.CV1
  • cs.IR1
  • cs.LG1
affiliations
  • University of Oregon
  • University of Moratuwa
Homepage
same name
  • Nisansa de Silva — 26 papers, h 9
  • Nisansa de Silva — 10 papers, h 15
  • Nisansa de Silva — 3 papers

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

activity
20212026
most citedQuality at a Glance: An Audit of Web-Crawled Multilingual Datasets

177 citations · 227 across the 27 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

Sinhala-English Word Embedding Alignment: Introducing Datasets and Benchmark for a Low Resource Language

Kasun Wickramasinghe, Nisansa de Silva

Since their inception, embeddings have become a primary ingredient in many flavours of Natural Language Processing (NLP) tasks supplanting earlier types of representation. Even tho…

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…

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