activity
20182020
most citedSigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts

13 citations · 50 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2020★ 10 cited

Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts

Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna +3

A document which elaborates opinions and arguments related to the previous court cases is known as a legal opinion text. Lawyers and legal officials have to spend considerable effo…

cs.CL2020★ 13 cited

SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts

Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha +4

Aspect-Based Sentiment Analysis (ABSA) has been prominent and ongoing research over many different domains, but it is not widely discussed in the legal domain. A number of publicly…

cs.CL2020★ 2 cited

Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting

Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera +1

Analyzing the sentiments of legal opinions available in Legal Opinion Texts can facilitate several use cases such as legal judgement prediction, contradictory statements identifica…

cs.CL2020★ 3 cited

Enhancing the Identification of Cyberbullying through Participant Roles

Gathika Ratnayaka, Thushari Atapattu, Mahen Herath +2

Cyberbullying is a prevalent social problem that inflicts detrimental consequences to the health and safety of victims such as psychological distress, anti-social behaviour, and su…

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.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…