An enormous amount of digital information is expressed as natural-language (NL) text that is
not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for …

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 …

The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated
from text, has seen a lot of attention in the last few years. The corresponding growth of the …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …

In this paper we present the Multilingual All-Words Sense Disambiguation and Entity Linking
task. Word Sense Disambiguation (WSD) and Entity Linking (EL) are well-known problems …

Transforming unstructured text into a formal representation is an important goal of the
Semantic Web in order to facilitate the integration and retrieval of information. The …

In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

Web tables form a valuable source of relational data. The Web contains an estimated 154
million HTML tables of relational data, with Wikipedia alone containing 1.6 million high …

Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models
have achieved recent success in this task. However, most existing methods rely on local …