Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Nisansa de Silva"'
Autor:
Julia Kreutzer, Isaac Caswell, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Ortiz Suarez, Iroro Orife, Kelechi Ogueji, Andre Niyongabo Rubungo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Ballı, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, Mofetoluwa Adeyemi
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/183709a1b69d42379e0bf5e2c5ba1497
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
Publikováno v:
International Journal on Advances in ICT for Emerging Regions (ICTer). 15:22-32
Research on natural language processing in most regional languages is hindered due to resource poverty. A possible solution for this is utilization of social media data in research. For example, the Facebook network allows its users to record their r
Publikováno v:
International Journal on Advances in ICT for Emerging Regions (ICTer). 15:12-21
The rapid growth of text corpora across various domains has emerged a need and an opportunity to leverage Natural Language Processing to automate and efficiently streamline tedious manual tasks. Legal domain is one such text rich domain which suffers
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:
Sadeep Gunathilaka, Nisansa De Silva
Publikováno v:
2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer).
Autor:
Nisansa De Silva
Publikováno v:
2022 Moratuwa Engineering Research Conference (MERCon).
Publikováno v:
IRI
Question Answering (QA) requires understanding of queries expressed in natural languages and identification of relevant information content to provide an answer. For closed-world QAs, information access is obtained by means of either context texts, o
Publikováno v:
2021 21st International Conference on Advances in ICT for Emerging Regions (ICter).