no code implementations • ROCLING 2022 • Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Amal Shehan Perera
The model is built with and experimented using legal domain specific sub-models to provide more visibility to the final model, along with other variations.
no code implementations • 10 Nov 2021 • Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva, Nisansa de Silva, Amal Shehan Perera
Inherently, the legal domain contains a vast amount of data in text format.
no code implementations • 20 Aug 2021 • Buddhi Ayesha, Bhagya Jeewanthi, Charith Chitraranjan, Amal Shehan Perera, Amal S. Kumarage
However, one of the main issues in using CDR data is that it is difficult to identify the precise location of the user due to the low spacial resolution of the data and other artifacts such as the load sharing effect.
no code implementations • 12 Nov 2020 • Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, Ramesh Pathirana
A number of publicly available datasets for a wide range of domains usually fulfill the needs of researchers to perform their studies in the field of ABSA.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
no code implementations • 11 Nov 2020 • Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera
A document which elaborates opinions and arguments related to the previous court cases is known as a legal opinion text.
no code implementations • PACLIC 2020 • Gathika Ratnayaka, Nisansa de Silva, Amal Shehan Perera, Ramesh Pathirana
Analyzing the sentiments of legal opinions available in Legal Opinion Texts can facilitate several use cases such as legal judgement prediction, contradictory statements identification and party-based sentiment analysis.
no code implementations • 6 Jun 2019 • Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Viraj Salaka Gamage, Menuka Warushavithana, Amal Shehan Perera
Therefore, the process of automatic information extraction from documents containing legal opinions related to court cases can be considered to be of significant importance.
no code implementations • WS 2018 • Viraj Gamage, Menuka Warushavithana, Nisansa de Silva, Amal Shehan Perera, Gathika Ratnayaka, Thejan Rupasinghe
This study proposes a novel way of identifying the sentiment of the phrases used in the legal domain.
no code implementations • 10 Sep 2018 • Gathika Ratnayaka, Thejan Rupasinghe, Nisansa de Silva, Menuka Warushavithana, Viraj Gamage, Amal Shehan Perera
To the best of our knowledge, this is the first study where discourse relationships between sentences have been used to determine relationships among sentences in legal court case transcripts.
no code implementations • 27 May 2018 • Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, Madhavi Perera
The ensemble model built in this study, shows a significantly higher accuracy level, which indeed proves the need for incorporation of domain specific semantic similarity measures into the information retrieval process.
no code implementations • 9 Sep 2017 • Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha, Madhavi Perera
With the use of word embeddings in the field of natural language processing, it became a popular topic due to its ability to cope up with semantic sensitivity.
no code implementations • 8 Jun 2017 • Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva, Amal Shehan Perera, Keet Sugathadasa, Buddhi Ayesha
Selecting a representative vector for a set of vectors is a very common requirement in many algorithmic tasks.
no code implementations • 6 Jun 2017 • Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, Madhavi Perera
Semantic similarity measures are an important part in Natural Language Processing tasks.