Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

In this paper we give an overview of the Knowledge Base Population (KBP) track at the 2010
Text Analysis Conference. The main goal of KBP is to promote research in discovering facts …

In this paper we give an overview of the Knowledge Base Population (KBP) track at TAC
2011. The main goal of KBP is to promote research in discovering facts about entities and …

Most successful information extraction systems operate with access to a large collection of
documents. In this work, we explore the task of acquiring and incorporating external …

Given a single column of values, existing approaches typically employ regex-like rules to
detect errors by finding anomalous values inconsistent with others. Such techniques make …

DeepDive is a system for extracting relational databases from dark data: the mass of text,
tables, and images that are widely collected and stored but which cannot be exploited by …

Kundenrezensionen im Internet spielen heutzutage eine wichtige Rolle bei unseren
alltäglichen Kaufentscheidungen. Ebenso sind die unzähligen Produktbewertungen von …

Wikipedia entity pages are a valuable source of information for direct consumption and for
knowledge-base construction, update and maintenance. Facts in these entity pages are …

Populating a database with information from unstructured sources—also known as
knowledge base construction (KBC)—is a long-standing problem in industry and research …

DBpedia is a Semantic Web project aiming to extract structured data from Wikipedia articles.
Due to the increasing number of resources linked to it, DBpedia plays a central role in the …