13 citations · 32 across the 10 of their papers we have counts for
9 papers · 1 filter
Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews
Dineth Jayakody, A V A Malkith, Koshila Isuranda +5
Aspect-based Sentiment Analysis (ABSA) is a critical task in Natural Language Processing (NLP) that focuses on extracting sentiments related to specific aspects within a text, offe…
M2DS: Multilingual Dataset for Multi-document Summarisation
Kushan Hewapathirana, Nisansa de Silva, C. D. Athuraliya
In the rapidly evolving digital era, there is an increasing demand for concise information as individuals seek to distil key insights from various sources. Recent attention from re…
Aspect-Based Sentiment Analysis Techniques: A Comparative Study
Dineth Jayakody, Koshila Isuranda, A V A Malkith +4
Since the dawn of the digitalisation era, customer feedback and online reviews are unequivocally major sources of insights for businesses. Consequently, conducting comparative anal…
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
Surangika Ranathunga, Nisansa de Silva, Dilith Jayakody +1
We analysed a sample of NLP research papers archived in ACL Anthology as an attempt to quantify the degree of openness and the benefit of such an open culture in the NLP community.…
Fine Tuning Named Entity Extraction Models for the Fantasy Domain
Aravinth Sivaganeshan, Nisansa de Silva
Named Entity Recognition (NER) is a sequence classification Natural Language Processing task where entities are identified in the text and classified into predefined categories. It…
Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain
Gayashan Weerasundara, Nisansa de Silva
Many NLP tasks, although well-resolved for general English, face challenges in specific domains like fantasy literature. This is evident in Named Entity Recognition (NER), which de…