Gathika Ratnayaka

According to our database, Gathika Ratnayaka authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimal Partial Graph Matching.

Gathika Ratnayaka, James Nichols, Qing Wang

CoRR, 2024

2023

Contrastive learning for supervised graph matching.

Gathika Ratnayaka, Qing Wang, Yang Li

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Legal Party Extraction from Legal Opinion Texts Using Recurrent Deep Neural Networks.

Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera

J. Data Intell., 2022

SigmaLaw PBSA - A Deep Learning Approach For Aspect Based Sentiment Analysis in Legal Opinion Texts.

Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera

J. Data Intell., 2022

Context Sensitive Verb Similarity Dataset for Legal Information Extraction.

Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Gayan Kavirathne, Thirasara Ariyarathna, Anjana Wijesinghe

Data, 2022

2021

Identifying Legal Party Members from Legal Opinion Documents using Natural Language Processing.

Melonie de Almeida, Chamodi Samarawickrama, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

Sigmalaw PBSA - A Deep Learning Model for Aspect-Based Sentiment Analysis for the Legal Domain.

Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka

Proceedings of the Database and Expert Systems Applications, 2021

2020

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

Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera

CoRR, 2020

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

Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana

Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020

Party Identification of Legal Documents using Co-reference Resolution and Named Entity Recognition.

Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera

Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 2020

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

Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, Ramesh Pathirana

Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 2020

Enhancing the Identification of Cyberbullying through Participant Roles.

Gathika Ratnayaka, Thushari Atapattu, Mahen Herath, Georgia Zhang, Katrina Falkner

Proceedings of the Fourth Workshop on Online Abuse and Harms, 2020

2019

Shift-of-Perspective Identification within Legal Cases.

Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Salaka Gamage, Menuka Warushavithana, Amal Shehan Perera

Proceedings of the Third Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), 2019

2018

Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations.

Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Menuka Warushavithana, Viraj Gamage, Amal Shehan Perera

CoRR, 2018

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

Viraj Salaka Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018