The term life sciences refers to the disciplines that study living organisms and life processes,
and include chemistry, biology, medicine, and a range of other related disciplines. Research …

Discovering entity mentions that are out of a Knowledge Base (KB) from texts plays a critical
role in KB maintenance, but has not yet been fully explored. The current methods are mostly …

Mentions of new concepts appear regularly in texts and require automated approaches to
harvest and place them into Knowledge Bases (KB), eg, ontologies and taxonomies …

Entity Linking (EL) is the task of detecting mentions of entities in text and disambiguating
them to a reference knowledge base. Most prevalent EL approaches assume that the …

We consider the problem of Open-world Information Extraction (Open-world IE), which
extracts comprehensive entity profiles from unstructured texts. Different from the …

This work considers the problem of Open-world Entity Profiling, a sub-domain of Open-world
Information Extraction (Open-world IE). Unlike the conventional closed-world IE, Open-world …

Abstract Knowledge graphs play an important role in today's IT landscape as they serve as a
data foundation for a plethora of applications and natively support tasks like question …

Abstract Semantic Table Interpretation (STI) is one of the most widely used methods for
identifying entities in tabular data. In this work, a methodology is delineated for implementing …

Entity Linking is crucial for numerous downstream tasks, such as question answering,
knowledge graph population, and general knowledge extraction. A frequently overlooked …