177 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Nisansa de Silva3 profiles24 · h 15
- A. Perera9 · h 11
- R. Rodrigo9 · h 14
- Surangika Ranathunga2 profiles8 · h 15
- Tharaka Samarasinghe6 · h 13
- Uthayasanker Thayasivam6 · h 12
- Gathika Ratnayaka5 · h 8
- G. Dias5 · h 10
- I. Perera2 profiles5 · h 24
- P. Jayasekara5 · h 9
- S. Fernando2 profiles5 · h 11
- Buddhi Ayesha4 · h 6
- National University of SingaporeSG7 papers
- The University of MelbourneAU7 papers
- University of ColomboLK6 papers
- École Polytechnique Fédérale de LausanneCH4 papers
- UNSW SydneyAU4 papers
- Boise State UniversityUS3 papers
- Carnegie Mellon UniversityUS3 papers
- Idiap Research InstituteCH3 papers
- Stanford UniversityUS3 papers
- University of RuhunaLK3 papers
- University of Southern QueenslandAU3 papers
- WSO2 (Sri Lanka)LK3 papers
3 papers · 2 filters
Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva +4
In many modern day systems such as information extraction and knowledge management agents, ontologies play a vital role in maintaining the concept hierarchies of the selected domai…
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva +4
Semantic similarity measures are an important part in Natural Language Processing tasks. However Semantic similarity measures built for general use do not perform well within speci…
Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva +3
Selecting a representative vector for a set of vectors is a very common requirement in many algorithmic tasks. Traditionally, the mean or median vector is selected. Ontology classe…