8 citations · 14 across the 6 of their papers we have counts for
7 papers
Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements using Large Language Models
Durgesh Nandini, Rebekka Koch, Mirco Schoenfeld
This study investigates the effectiveness of Large Language Models (LLMs) for the extraction of structured knowledge in the form of Subject-Predicate-Object triples. We apply the s…
Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
Durgesh Nandini, Simon Bloethner, Mirco Schoenfeld +1
Understanding the complex dynamics of high-dimensional, contingent, and strongly nonlinear economic data, often shaped by multiplicative processes, poses significant challenges for…
How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics
Oliver Baumann, Durgesh Nandini, Anderson Rossanez +2
Traditional recommendation proposals, including content-based and collaborative filtering, usually focus on similarity between items or users. Existing approaches lack ways of intr…
Explaining Hate Speech Classification with Model Agnostic Methods
Durgesh Nandini, Ute Schmid
There have been remarkable breakthroughs in Machine Learning and Artificial Intelligence, notably in the areas of Natural Language Processing and Deep Learning. Additionally, hate…
Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages
Thomas Mandl, Sandip Modha, Gautam Kishore Shahi +8
The widespread of offensive content online such as hate speech poses a growing societal problem. AI tools are necessary for supporting the moderation process at online platforms. F…
FakeCovid -- A Multilingual Cross-domain Fact Check News Dataset for COVID-19
Gautam Kishore Shahi, Durgesh Nandini
In this paper, we present a first multilingual cross-domain dataset of 5182 fact-checked news articles for COVID-19, collected from 04/01/2020 to 15/05/2020. We have collected the…
Linked Open Data Validity -- A Technical Report from ISWS 2018
Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam +68
Linked Open Data (LOD) is the publicly available RDF data in the Web. Each LOD entity is identfied by a URI and accessible via HTTP. LOD encodes globalscale knowledge potentially a…