Fausto Giunchiglia · PaperMetrix

Compositional Learning of Relation Path Embedding for Knowledge Base Completion

2016 · arXiv (Cornell University)

Large-scale knowledge bases have currently reached impressive sizes; however, these knowledge bases are still far from complete. In addition, most of the existing methods for knowledge base completion only consider the direct links between entities, …

A large and evolving cognate database

2021 · Language Resources and Evaluation

Abstract We present CogNet , a large-scale, automatically-built database of sense-tagged cognates —words of common origin and meaning across languages. CogNet is continuously evolving: its current version contains over 8 million cognate pairs over 338 …

Language Diversity: Visible to Humans, Exploitable by Machines

2022

Gábor Bella, Erdenebileg Byambadorj, Yamini Chandrashekar, Khuyagbaatar Batsuren, Danish Cheema, Fausto Giunchiglia. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. 2022.

Building Interoperable Electronic Health Records as Purpose-Driven Knowledge Graphs

2023 · arXiv (Cornell University)

When building a new application we are increasingly confronted with the need of reusing and integrating pre-existing knowledge. Nevertheless, it is a fact that this prior knowledge is virtually impossible to reuse as-is. This is …

A Methodology and System For Big-Thick Data Collection

2024 · arXiv (Cornell University)

Pervasive sensors have become essential in research for gathering real-world data. However, current studies often focus solely on objective data, neglecting subjective human contributions. We introduce an approach and system for collecting big-thick data, combining …

CogNet: A Large-Scale Cognate Database

2019