Jens Lehmann

CLEP: A Hybrid Data- and Knowledge-Driven Framework for Generating Patient Representations

2020 · bioRxiv (Cold Spring Harbor Laboratory)

Abstract As machine learning and artificial intelligence become more useful in the interpretation of biomedical data, their utility depends on the data used to train them. Due to the complexity and high dimensionality of biomedical …

Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer

2021

Fabian Galetzka, Jewgeni Rose, David Schlangen, Jens Lehmann. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021.

Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task

2021 · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)

29334

Exploring Large Language Models for Scientific Question Answering via Natural Language to SPARQL Translation

2025 · ACM Transactions on Intelligent Systems and Technology

Translating scientific questions expressed in natural language into SPARQL queries that can be executed over knowledge graphs remains a significant challenge in the field of question answering. Recently, several prominent benchmarks, notably SciQA and DBLP-QuAD, …

DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia

2015 · Semantic Web

The DBpedia community project extracts structured, multilingual knowledge from Wikipedia and makes it freely available on the Web using Semantic Web and Linked Data technologies. The project extracts knowledge from 111 different language editions of

Neural Network-based Question Answering over Knowledge Graphs on Word and Character Level

2017

Question Answering (QA) systems over Knowledge Graphs (KG) automatically answer natural language questions using facts contained in a knowledge graph. Simple questions, which can be answered by the extraction of a single fact, constitute a …

LC-QuAD: A Corpus for Complex Question Answering over Knowledge Graphs

2017 · Lecture notes in computer science

Being able to access knowledge bases in an intuitive way has been an active area of research over the past years. In particular, several question answering (QA) approaches which allow to query RDF datasets in …

Why Reinvent the Wheel

2018

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 Entity Recognition and Disambiguation, Relation Extraction, and Query …