Many question answering systems over knowledge graphs rely on entity and relation linking
components in order to connect the natural language input to the underlying knowledge …

Modern question answering (QA) systems need to flexibly integrate a number of
components specialised to fulfil specific tasks in a QA pipeline. Key QA tasks include Named …

In the last decade, a large number of knowledge graph (KG) completion approaches were
proposed. Albeit effective, these efforts are disjoint, and their collective strengths and …

Question answering (QA) over knowledge graphs has gained significant momentum over
the past five years due to the increasing availability of large knowledge graphs and the …

Abstract Knowledge base question answering systems are heavily dependent on relation
extraction and linking modules. However, the task of extracting and linking relations from text …

Recently remarkable trials of the question answering (QA) community yielded in developing
core components accomplishing QA tasks. However, implementing a QA system still was …

Relation linking is an important problem for knowledge graph-based Question Answering.
Given a natural language question and a knowledge graph, the task is to identify relevant …

Relation linking (RL) is a vital module in knowledge-based question answering (KBQA)
systems. It aims to link the relations expressed in natural language (NL) to the …

We propose Plumber, the first framework that brings together the research community's
disjoint information extraction (IE) efforts. The Plumber architecture comprises 33 reusable …

Entity and relation linking are the core tasks in knowledge base question answering (KBQA).
They connect natural language questions with triples in the knowledge base. In most …