activity
20172019
most citedLogic Rules Powered Knowledge Graph Embedding

18 citations · 18 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL2019

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.AI201918 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

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

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.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…