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Ontology-Grounded Topic Modeling for Climate Science Research
(AKA Verlag, Berlin, 2018-10-08)
In scientific disciplines where research findings have a strong impact on society, reducing the amount of time it takes to understand, synthesize and exploit the research is invaluable. Topic modeling is an effective ...
Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity systems
(Association for Computational Linguistics, 2014-08-23)
We describe UMBC's systems developed for the SemEval 2014 tasks on Multilingual Semantic Textual Similarity (Task 10) and Cross-Level Semantic Similarity (Task 3). Our best submission in the Multilingual task ranked second ...
Cluster-based Instance Consolidation For Subsequent Matching
Instance consolidation is a way to merge instances that are thought to be the same or closely related that can be used to support coreference resolution and entity linking. For Semantic Web data, consolidating instances ...
Computing FOAF Co-reference Relations with Rules and Machine Learning
The friend of a friend (FOAF) vocabulary is widely used on the Web to describe ’agents’ (people, groups and organizations) and their properties. Since FOAF does not require unique ID for agents, it is not clear when two ...
Learning Co-reference Relations for FOAF Instances
FOAF is widely used on the Web to describe people, groups and organizations and their properties. Since FOAF does not require unique IDs, it is often unclear when two FOAF instances are co-referent, i.e., denote the same ...