13 citations · 25 across the 3 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
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…