activity
20172021
most citedSynergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity

37 citations · 79 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021★ 1 cited

User Localization Based on Call Detail Records

Buddhi Ayesha, Bhagya Jeewanthi, Charith Chitraranjan +2

Understanding human mobility is essential for many fields, including transportation planning. Currently, surveys are the primary source for such analysis. However, in the recent pa…

cs.IR2018

Legal Document Retrieval using Document Vector Embeddings and Deep Learning

Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva +4

Domain specific information retrieval process has been a prominent and ongoing research in the field of natural language processing. Many researchers have incorporated different te…

cs.CL2017★ 18 cited

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…

cs.CL2017★ 37 cited

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…

cs.CL2017★ 23 cited

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…