89 citations · 203 across the 16 of their papers we have counts for
18 papers
PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs
Debayan Banerjee, Debanjan Chaudhuri, Mohnish Dubey +1
Question Answering systems are generally modelled as a pipeline consisting of a sequence of steps. In such a pipeline, Entity Linking (EL) is often the first step. Several EL model…
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt +4
Recently, knowledge graph embeddings (KGEs) received significant attention, and several software libraries have been developed for training and evaluating KGEs. While each of them…
Improving the Long-Range Performance of Gated Graph Neural Networks
Denis Lukovnikov, Jens Lehmann, Asja Fischer
Many popular variants of graph neural networks (GNNs) that are capable of handling multi-relational graphs may suffer from vanishing gradients. In this work, we propose a novel GNN…
IQA: Interactive Query Construction in Semantic Question Answering Systems
Hamid Zafar, Mohnish Dubey, Jens Lehmann +1
Semantic Question Answering (SQA) systems automatically interpret user questions expressed in a natural language in terms of semantic queries. This process involves uncertainty, su…
Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
Ariam Rivas, Irlán Grangel-González, Diego Collarana +2
Industry~4.0 (I4.0) standards and standardization frameworks have been proposed with the goal of \emph{empowering interoperability} in smart factories. These standards enable the d…
End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings
Rostislav Nedelchev, Debanjan Chaudhuri, Jens Lehmann +1
Entity linking - connecting entity mentions in a natural language utterance to knowledge graph (KG) entities is a crucial step for question answering over KGs. It is often based on…