activity
20172019
most citedSynergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity

37 citations · 141 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2019★ 6 cited

Shift-of-Perspective Identification Within Legal Cases

Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva +3

Arguments, counter-arguments, facts, and evidence obtained via documents related to previous court cases are of essential need for legal professionals. Therefore, the process of au…

cs.CL2019★ 23 cited

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Nisansa de Silva

Sinhala is the native language of the Sinhalese people who make up the largest ethnic group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo-European. H…

cs.AI2019★ 18 cited

Logic Rules Powered Knowledge Graph Embedding

Pengwei Wang, Dejing Dou, Fangzhao Wu +2

Large scale knowledge graph embedding has attracted much attention from both academia and industry in the field of Artificial Intelligence. However, most existing methods concentra…

cs.CL2018★ 5 cited

Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning

Viraj Gamage, Menuka Warushavithana, Nisansa de Silva +3

This study proposes a novel way of identifying the sentiment of the phrases used in the legal domain. The added complexity of the language used in law, and the inability of the exi…

cs.CL2018★ 11 cited

Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations

Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva +3

Case Law has a significant impact on the proceedings of legal cases. Therefore, the information that can be obtained from previous court cases is valuable to lawyers and other lega…

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…

cs.CL2017

Subject Specific Stream Classification Preprocessing Algorithm for Twitter Data Stream

Nisansa de Silva, Danaja Maldeniya, Chamilka Wijeratne

Micro-blogging service Twitter is a lucrative source for data mining applications on global sentiment. But due to the omnifariousness of the subjects mentioned in each data item; i…