Entity-oriented search systems often learn vector representations of entities via the
introductory paragraph from the Wikipedia page of the entity. As such representations are …

Previously proposed approaches to ad-hoc entity retrieval in the Web of Data (ERWD) used
multi-fielded representation of entities and relied on standard unigram bag-of-words retrieval …

Knowledge bases and the Web of Linked Data have become important assets for search,
recommendation, and analytics. Natural-language questions are a user-friendly mode of …

Entity-oriented search tasks heavily rely on exploiting unstructured and structured
collections. Moreover, it is frequent for text corpora and knowledge bases to provide …

When humans explain complex topics, they naturally talk about involved entities, such as
people, locations, or events. In this paper, we aim at automating this process by retrieving …

Accurate projection of terms in free-text queries onto structured entity representations is one
of the fundamental problems in entity retrieval from knowledge graphs. In this paper, we …

Users in consumption domains, like music, are often able to more efficiently provide
preferences over a set of items (eg a playlist or radio) than over single items (eg songs) …

The scale of today's Web of Data motivates the use of keyword search-based approaches to
entity-oriented search tasks in addition to traditional structure-based approaches, which …

Recent years have witnessed the emergence of novel models for ad-hoc entity search in
knowledge graphs of varying complexity. Since these models are based on direct term …

Graph clustering, often addressed as community detection, is a prominent task in the domain
of graph data mining with dozens of algorithms proposed in recent years. In this paper, we …