In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Whilst there has been growing progress in Entity Linking (EL) for general language, existing
datasets fail to address the complex nature of health terminology in layman's language …

In many information extraction applications, entity linking (EL) has emerged as a crucial task
that allows leveraging information about named entities from a knowledge base. In this …

Abstract Named Entity Recognition and Disambiguation (NERD) systems are foundational
for information retrieval, question answering, event detection, and other natural language …

Multimodal entity linking (MEL) is an emerging research field which uses both textual and
visual information to map an ambiguous mention to an entity in a knowledge base (KB) …

We introduce and make publicly available an entity linking dataset from Reddit that contains
17,316 linked entities, each annotated by three human annotators and then grouped into …

To disambiguate between closely related concepts, entity linking systems need to effectively
distill cues from their context, which may be quite noisy. We investigate several techniques …

String similarity models are vital for record linkage, entity resolution, and search. In this work,
we present STANCE--a learned model for computing the similarity of two strings. Our …

For each specific mention of an entity found in a text, the goal of entity linking is to determine
whether the referenced entity is present in an existing knowledge base, and if so to …

In certain fields, real-time knowledge from events can help in making informed decisions. In
order to extract pertinent real-time knowledge related to an event, it is important to identify …