Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Gathika Ratnayaka"'
Autor:
Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Gayan Kavirathne, Thirasara Ariyarathna, Anjana Wijesinghe
Publikováno v:
Data, Vol 7, Iss 7, p 87 (2022)
Existing literature demonstrates that verbs are pivotal in legal information extraction tasks due to their semantic and argumentative properties. However, granting computers the ability to interpret the meaning of a verb and its semantic properties i
Externí odkaz:
https://doaj.org/article/95619705b8b84b82887e0d54b505f2ff
Autor:
Chamodi Samarawickrama, Melonie de Almeida, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera
Publikováno v:
Journal of Data Intelligence. 3:350-365
Since the advent of deep learning based Natural Language Processing (NLP), diverse domains of human society have benefited form automation and the resultant increment in efficiency. Law and order are, undoubtedly, crucial for the proper functioning o
Autor:
Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, and Amal Shehan Perera
Publikováno v:
Journal of Data Intelligence. 3:101-115
When lawyers and legal officers are working on a new legal case, they are supposed have properly studied prior cases similar to the current case, as the prior cases can provide valuable information which can have a direct impact on the outcomes of th
Autor:
Melonie de Almeida, Chamodi Samarawickrama, Nisansa de Silva, Gathika Ratnayaka, Shehan Perera
Publikováno v:
The 23rd International Conference on Information Integration and Web Intelligence.
Autor:
Amal Shehan Perera, Nisansa de Silva, Isanka Rajapaksha, Gathika Ratnayaka, Dilini Karunarathna, Chanika Ruchini Mudalige
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030864712
DEXA (1)
DEXA (1)
Legal information retrieval holds a significant importance to lawyers and legal professionals. Its significance has grown as a result of the vast and rapidly increasing amount of legal documents available via electronic means. Legal documents, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4153c1a5e901bd1dbe85fea186313b2d
https://doi.org/10.1007/978-3-030-86472-9_12
https://doi.org/10.1007/978-3-030-86472-9_12
Autor:
Gathika Ratnayaka, Amal Shehan Perera, Melonie de Almeida, Nisansa de Silva, Chamodi Samarawickrama
Publikováno v:
ICIIS
In the field of natural language processing, domain-specific information retrieval using given documents has been a prominent and ongoing research area. Automatic extraction of the legal parties (petitioner and defendant sets) involved in a legal cas
Autor:
Dilini Karunarathna, Chanika Ruchini Mudalige, Nisansa de Silva, Isanka Rajapaksha, Ramesh Pathirana, Amal Shehan Perera, Gathika Ratnayaka
Publikováno v:
ICIIS
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 available datasets for a wide range of domains usually fulfill the ne
Autor:
Melonie de Almeida, Amal Shehan Perera, Nisansa de Silva, Chamodi Samarawickrama, Gathika Ratnayaka
Publikováno v:
2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer).
In the field of natural language processing, domain specific information retrieval using given documents has been a prominent and ongoing research area. The automatic extraction of the legal parties involved in a legal case has a significant impact o
Autor:
Menuka Warushavithana, Amal Shehan Perera, Nisansa de Silva, Gathika Ratnayaka, Viraj Gamage, Thejan Rupasinghe
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 legal officials when performing their duties. This paper describes a metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6545c3d0fb1758168fb723aa2e336181
Autor:
Thejan Rupasinghe, Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Viraj Salaka, Menuka Warushavithana
Publikováno v:
WASSA@EMNLP
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 existing systems to accurately predict the sentiments of words in law are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7301525cf2def6e2c15d34e731b4592d