Since the relaunch of Microsoft Academic Services (MAS) 4 years ago, scholarly
communications have undergone dramatic changes: more ideas are being exchanged …

The semantic web is an emerging technology that helps to connect different users to create
their content and also facilitates the way of representing information in a manner that can be …

This paper introduces Explicit Semantic Ranking (ESR), a new ranking technique that
leverages knowledge graph embedding. Analysis of the query log from our academic search …

We present ELQ, a fast end-to-end entity linking model for questions, which uses a
biencoder to jointly perform mention detection and linking in one pass. Evaluated on …

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 …

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 …

This article provides a comprehensive overview of the broad area of semantic search on text
and knowledge bases. In a nutshell, semantic search is “search with meaning”. This …

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 …

We present GERBIL, an evaluation framework for semantic entity annotation. The rationale
behind our framework is to provide developers, end users and researchers with easy-to-use …

Abstract Named Entity Recognition (NER) remains difficult in real-world settings; current
challenges include short texts (low context), emerging entities, and complex entities (eg …