Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

Entity linking (EL) is the process of linking entity mentions appearing in web text with their
corresponding entities in a knowledge base. EL plays an important role in the fields of …

Natural language processing (NLP) is useful for handling text and speech, and sequence
labeling plays an important role by automatically analyzing a sequence (text) to assign …

The large number of potential applications from bridging web data with knowledge bases
have led to an increase in the entity linking research. Entity linking is the task to link entity …

We present a novel model for the task of joint mention extraction and classification. Unlike
existing approaches, our model is able to effectively capture overlapping mentions with …

With the increasing popularity of large scale Knowledge Graph (KG) s, many applications
such as semantic analysis, search and question answering need to link entity mentions in …

Abstract Local models for Entity Disambiguation (ED) have today become extremely
powerful, in most part thanks to the advent of large pre-trained language models. However …

Non-linear models recently receive a lot of attention as people are starting to discover the
power of statistical and embedding features. However, tree-based models are seldom …

Recognizing names and linking them to structured data is a fundamental task in text
analysis. Existing approaches typically perform these two steps using a pipeline …

Nowadays, most openly available knowledge bases (KBs) are incomplete, since they are
not synchronized with the emerging facts happening in the real world. Therefore, knowledge …