Principal Scientist
Amazon Alexa AI
Principal Investigator ScaDS.AI, TU Dresden
Member of Institute for Applied Informatics, Dresden / Leipzig
Profiles: LinkedIn, Google Scholar, DBLP, Web-ID
Office
Amazon Office: Großenhainer Str. 5a, 01097 Dresden
InfAI: Schnorrstraße 70, 01069 Dresden
Short CV
Jens Lehmann (http://www.jens-lehmann.org) works full time as a principal scientist at Amazon Alexa AI. He also leads the „Smart Data Analytics“ research group with his affiliated senior researchers at InfAI and TU Dresden as well as his PhD students. Previously, he was a lead scientist for Conversational AI and Knowledge Graphs at Fraunhofer IAIS and a full professor (W3) at the University of Bonn. His research interests involve Semantic Web, machine learning, question answering & dialogue systems, distributed computing and knowledge representation. Please see his website for more details.
Research Interests
- Machine Learning
- Semantic Web & Knowledge Graphs
- Conversational AI
Publications
2022
RoMe: A Robust Metric for Evaluating Natural Language Generation Inproceedings
In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, pp. 5645–5657, Association for Computational Linguistics, 2022.
Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion Inproceedings
In: The Semantic Web - 19th International Conference, ESWC 2022, Hersonissos, Crete, Greece, May 29 - June 2, 2022, Proceedings, pp. 253–269, Springer, 2022.
DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs Inproceedings
In: 16th IEEE International Conference on Semantic Computing, ICSC 2022, Laguna Hills, CA, USA, January 26-28, 2022, pp. 243–250, IEEE, 2022.
Time-aware Entity Alignment using Temporal Relational Attention Inproceedings
In: WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, pp. 788–797, ACM, 2022.
Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs Journal Article
In: IEEE Access, vol. 10, pp. 50467–50478, 2022.
Spatial concept learning and inference on geospatial polygon data Journal Article
In: Knowl. Based Syst., vol. 241, pp. 108233, 2022.
2021
5* Knowledge Graph Embeddings with Projective Transformations Inproceedings
In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pp. 9064–9072, AAAI Press, 2021.
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer Inproceedings
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, pp. 7028–7041, Association for Computational Linguistics, 2021.
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs Inproceedings
In: CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, pp. 4465–4474, ACM, 2021.
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks Inproceedings
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021, pp. 850–862, Association for Computational Linguistics, 2021.
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata Inproceedings
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021, pp. 504–514, Association for Computational Linguistics, 2021.
Pattern-Aware and Noise-Resilient Embedding Models Inproceedings
In: Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I, pp. 483–496, Springer, 2021.
Knowledge Graph Representation Learning using Ordinary Differential Equations Inproceedings
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 9529–9548, Association for Computational Linguistics, 2021.
Proxy Indicators for the Quality of Open-domain Dialogues Inproceedings
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 7834–7855, Association for Computational Linguistics, 2021.
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs Inproceedings
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pp. 8999–9010, Association for Computational Linguistics, 2021.
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers Inproceedings
In: The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings, pp. 323–339, Springer, 2021.
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation Inproceedings
In: The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings, pp. 598–613, Springer, 2021.
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs Inproceedings
In: The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings, pp. 356–371, Springer, 2021.
A Virtual Knowledge Graph for Enabling Defect Traceability and Customer Service Analytics Inproceedings
In: The Semantic Web: ESWC 2021 Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected Papers, pp. 245–248, Springer, 2021.
Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor Inproceedings
In: Further with Knowledge Graphs - Proceedings of the 17th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, The Netherlands, September 6-9, 2021, pp. 74–88, IOS Press, 2021.
BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings Inproceedings
In: Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins co-located with Semantics 2021, Amsterdam and Online, September 6-9, 2021, CEUR-WS.org, 2021.
A Scalable Approach for Distributed Reasoning over Large-scale OWL Datasets Inproceedings
In: Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2021, Volume 2: KEOD, Online Streaming, October 25-27, 2021, pp. 51–60, SCITEPRESS, 2021.
ŐRUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data Inproceedings
In: Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021, Proceedings, pp. 89–100, Springer, 2021.
A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics Inproceedings
In: Inductive Logic Programming - 30th International Conference, ILP 2021, Virtual Event, October 25-27, 2021, Proceedings, pp. 266–281, Springer, 2021.
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings Inproceedings
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021, pp. 2569–2578, Association for Computational Linguistics, 2021.
Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task Inproceedings
In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021.
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models Inproceedings
In: Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III, pp. 77–89, Springer, 2021.
VOGUE: Answer Verbalization Through Multi-Task Learning Inproceedings
In: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III, pp. 563–579, Springer, 2021.
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities Inproceedings
In: Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II, pp. 548–564, Springer, 2021.
DistSim - Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs Inproceedings
In: 15th IEEE International Conference on Semantic Computing, ICSC 2021, Laguna Hills, CA, USA, January 27-29, 2021, pp. 333–336, IEEE, 2021.
Improving Inductive Link Prediction Using Hyper-relational Facts Inproceedings
In: The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings, pp. 74–92, Springer, 2021.
GeoWINE: Geolocation based Wiki, Image, News and Event Retrieval Inproceedings
In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, pp. 2565–2569, ACM, 2021.
In: IEEE Access, vol. 9, pp. 116002–116014, 2021.
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain Journal Article
In: IEEE Access, vol. 9, pp. 116002–116014, 2021.
CLEP: a hybrid data- and knowledge-driven framework for generating patient representations Journal Article
In: Bioinform., vol. 37, no. 19, pp. 3311–3318, 2021.
Geolog: Scalable Logic Programming on Spatial Data Inproceedings
In: Proceedings 37th International Conference on Logic Programming (Technical Communications), ICLP Technical Communications 2021, Porto (virtual event), 20-27th September 2021, pp. 191–204, 2021.
Trans4E: Link prediction on scholarly knowledge graphs Journal Article
In: Neurocomputing, vol. 461, pp. 530–542, 2021.
Towards holistic Entity Linking: Survey and directions Journal Article
In: Inf. Syst., vol. 95, pp. 101624, 2021.
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Journal Article
In: J. Mach. Learn. Res., vol. 22, pp. 82:1–82:6, 2021.
Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings Journal Article
In: J. Data Intell., vol. 2, no. 3, pp. 326–347, 2021.
In: Scientometrics, vol. 126, no. 9, pp. 8129–8151, 2021.
Introduction to neural network-based question answering over knowledge graphs Journal Article
In: WIREs Data Mining Knowl. Discov., vol. 11, no. 3, 2021.
2020
AutoChef: Automated Generation of Cooking Recipes Inproceedings
In: IEEE Congress on Evolutionary Computation, CEC 2020, Glasgow, United Kingdom, July 19-24, 2020, pp. 1–7, IEEE, 2020.
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities Inproceedings
In: CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, pp. 2967–2974, ACM, 2020.
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models Inproceedings
In: CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, pp. 2157–2160, ACM, 2020.
Language Model Transformers as Evaluators for Open-domain Dialogues Inproceedings
In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 6797–6808, International Committee on Computational Linguistics, 2020.
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation Inproceedings
In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 1583–1593, International Committee on Computational Linguistics, 2020.
Knowledge Graph Embeddings in Geometric Algebras Inproceedings
In: Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, pp. 530–544, International Committee on Computational Linguistics, 2020.
Unveiling Relations in the Industry 4.0 Standards Landscape Based on Knowledge Graph Embeddings Inproceedings
In: Database and Expert Systems Applications - 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings, Part II, pp. 179–194, Springer, 2020.
The Effect of Rule Injectionin a Leakage Free Dataset Inproceedings
In: Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Virtual Event, September, 2020, pp. 28–35, CEUR-WS.org, 2020.