37 citations · 126 across the 12 of their papers we have counts for
12 papers
Critical Sentence Identification in Legal Cases Using Multi-Class Classification
Sahan Jayasinghe, Lakith Rambukkanage, Ashan Silva +2
Inherently, the legal domain contains a vast amount of data in text format. Therefore it requires the application of Natural Language Processing (NLP) to cater to the analytically…
User Localization Based on Call Detail Records
Buddhi Ayesha, Bhagya Jeewanthi, Charith Chitraranjan +2
Understanding human mobility is essential for many fields, including transportation planning. Currently, surveys are the primary source for such analysis. However, in the recent pa…
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…
Legal Document Retrieval using Document Vector Embeddings and Deep Learning
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva +4
Domain specific information retrieval process has been a prominent and ongoing research in the field of natural language processing. Many researchers have incorporated different te…
Semi-Supervised Instance Population of an Ontology using Word Vector Embeddings
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva +4
In many modern day systems such as information extraction and knowledge management agents, ontologies play a vital role in maintaining the concept hierarchies of the selected domai…
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva +4
Semantic similarity measures are an important part in Natural Language Processing tasks. However Semantic similarity measures built for general use do not perform well within speci…
Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
Vindula Jayawardana, Dimuthu Lakmal, Nisansa de Silva +3
Selecting a representative vector for a set of vectors is a very common requirement in many algorithmic tasks. Traditionally, the mean or median vector is selected. Ontology classe…