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ORCIDJens Lehmann 0001
Person information
- affiliation: Amazon Alexa AI, Dresden, Germany
- affiliation: TU Dresden, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)Germany
- affiliation (former): University of Bonn, Institute for Computer Science, Germany
- affiliation (former): Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Sankt Augustin, Germany
- affiliation (former): University of Oxford, DIADEM, UK
- affiliation (former, PhD 2010): Leipzig University, Department of Computer Science, Germany
Other persons with the same name
- Jens Lehmann 0002 — IHP Microelectronics, Frankfurt (Oder), Germany
- Jens Lehmann 0003 — FernUniversität Hagen, Germany
- Jens Lehmann 0004
![[0000-0002-4670-7517]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4670-7517")
— Medical University of Innsbruck, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Austria
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Books and Theses
- 2014
[b2]Jens Lehmann, Johanna Völker:
Perspectives on Ontology Learning. Studies on the Semantic Web 18, IOS Press 2014, ISBN 978-1-61499-378-0, pp. 1-281- 2010
- [b1]Jens Lehmann:
Learning OWL Class Expressions. University of Leipzig, Studies on the Semantic Web 6, IOS Press 2010, ISBN 978-1-60750-528-0, pp. 1-265
Journal Articles
- 2024
- [j54]Farid Saberi-Movahed, Bitasta Biswas, Prayag Tiwari, Jens Lehmann, Sahar Vahdati:
Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation. Expert Syst. Appl. 249: 123645 (2024) - [j53]Jens Lehmann, Dhananjay Bhandiwad, Preetam Gattogi, Sahar Vahdati:
Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources. Trans. Assoc. Comput. Linguistics 12: 786-802 (2024) - [j52]Prayag Tiwari, Farid Saberi Movahed, Saeed Karami, Farshad Saberi-Movahed, Jens Lehmann, Sahar Vahdati:
A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j51]Shimaa Ibrahim, Said Fathalla, Jens Lehmann, Hajira Jabeen:
Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment. IEEE Access 11: 8581-8599 (2023) - [j50]Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen:
Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approach. Enterp. Inf. Syst. 17(7) (2023) - [j49]Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann:
SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs. Int. J. Semantic Comput. 17(2): 199-221 (2023) - [j48]Mojtaba Nayyeri, Chengjin Xu, Mirza Mohtashim Alam, Jens Lehmann, Hamed Shariat Yazdi:
LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7050-7062 (2023) - [j47]Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35(5): 4838-4851 (2023) - 2022
- [j46]Md. Rashad Al Hasan Rony, Debanjan Chaudhuri, Ricardo Usbeck, Jens Lehmann:
Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs. IEEE Access 10: 50467-50478 (2022) - [j45]Md. Rashad Al Hasan Rony, Uttam Kumar, Roman Teucher, Liubov Kovriguina, Jens Lehmann:
SGPT: A Generative Approach for SPARQL Query Generation From Natural Language Questions. IEEE Access 10: 70712-70723 (2022) - [j44]Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Mojtaba Nayyeri, Karishma Mohiuddin, M. S. T. Mahfuja Akter, Sahar Vahdati, Jens Lehmann:
Language Model Guided Knowledge Graph Embeddings. IEEE Access 10: 76008-76020 (2022) - [j43]Patrick Westphal, Tobias Grubenmann, Diego Collarana, Simon Bin, Lorenz Bühmann, Jens Lehmann:
Spatial concept learning and inference on geospatial polygon data. Knowl. Based Syst. 241: 108233 (2022) - [j42]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann:
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8825-8845 (2022) - [j41]Cedric Möller, Jens Lehmann, Ricardo Usbeck:
Survey on English Entity Linking on Wikidata: Datasets and approaches. Semantic Web 13(6): 925-966 (2022) - 2021
- [j40]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Andrey Kravchenko, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Enrico Motta, Jens Lehmann:
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. IEEE Access 9: 116002-116014 (2021) - [j39]Vinay Srinivas Bharadhwaj, Mehdi Ali, Colin Birkenbihl, Sarah Mubeen, Jens Lehmann, Martin Hofmann-Apitius, Charles Tapley Hoyt, Daniel Domingo-Fernández:
CLEP: a hybrid data- and knowledge-driven framework for generating patient representations. Bioinform. 37(19): 3311-3318 (2021) - [j38]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link prediction on scholarly knowledge graphs. Neurocomputing 461: 530-542 (2021) - [j37]Italo Lopes Oliveira, Renato Fileto, René Speck, Luís Paulo F. Garcia, Diego Moussallem, Jens Lehmann:
Towards holistic Entity Linking: Survey and directions. Inf. Syst. 95: 101624 (2021) - [j36]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann:
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. J. Mach. Learn. Res. 22: 82:1-82:6 (2021) - [j35]Ariam Rivas, Irlán Grangel-González, Diego Collarana, Jens Lehmann, Maria-Esther Vidal:
Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings. J. Data Intell. 2(3): 326-347 (2021) - [j34]Arthur Lackner, Said Fathalla, Mojtaba Nayyeri, Andreas Behrend, Rainer Manthey, Sören Auer, Jens Lehmann, Sahar Vahdati:
Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade. Scientometrics 126(9): 8129-8151 (2021) - [j33]Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, Asja Fischer:
Introduction to neural network-based question answering over knowledge graphs. WIREs Data Mining Knowl. Discov. 11(3) (2021) - 2020
- [j32]Mojtaba Nayyeri, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
3D Learning and Reasoning in Link Prediction Over Knowledge Graphs. IEEE Access 8: 196459-196471 (2020) - [j31]Fathoni A. Musyaffa, Maria-Esther Vidal, Fabrizio Orlandi, Jens Lehmann, Hajira Jabeen:
IOTA: Interlinking of heterogeneous multilingual open fiscal DaTA. Expert Syst. Appl. 147: 113135 (2020) - [j30]Hamid Zafar, Mohnish Dubey, Jens Lehmann, Elena Demidova:
IQA: Interactive query construction in semantic question answering systems. J. Web Semant. 64: 100586 (2020) - [j29]Kuldeep Singh, Ioanna Lytra, Arun Sethupat Radhakrishna, Saeedeh Shekarpour, Maria-Esther Vidal, Jens Lehmann:
No one is perfect: Analysing the performance of question answering components over the DBpedia knowledge graph. J. Web Semant. 65: 100594 (2020) - [j28]Claus Stadler, Simon Bin, Lisa Wenige, Lorenz Bühmann, Jens Lehmann:
Schema-agnostic SPARQL-driven faceted search benchmark generation. J. Web Semant. 65: 100614 (2020) - 2019
- [j27]Mehdi Ali, Charles Tapley Hoyt, Daniel Domingo-Fernández, Jens Lehmann, Hajira Jabeen:
BioKEEN: a library for learning and evaluating biological knowledge graph embeddings. Bioinform. 35(18): 3538-3540 (2019) - [j26]Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho:
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. ACM Comput. Surv. 52(5): 107:1-107:34 (2019) - [j25]Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena:
New label noise injection methods for the evaluation of noise filters. Knowl. Based Syst. 163: 693-704 (2019) - [j24]Patrick Westphal, Lorenz Bühmann, Simon Bin, Hajira Jabeen, Jens Lehmann:
SML-Bench - A benchmarking framework for structured machine learning. Semantic Web 10(2): 231-245 (2019) - [j23]Anisa Rula, Matteo Palmonari, Simone Rubinacci, Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Andrea Maurino, Diego Esteves:
TISCO: Temporal scoping of facts. J. Web Semant. 54: 72-86 (2019) - 2018
- [j22]Diego Esteves, Anisa Rula, Aniketh Janardhan Reddy, Jens Lehmann:
Toward Veracity Assessment in RDF Knowledge Bases: An Exploratory Analysis. ACM J. Data Inf. Qual. 9(3): 16:1-16:26 (2018) - [j21]Maribel Acosta, Amrapali Zaveri, Elena Simperl, Dimitris Kontokostas, Fabian Flöck, Jens Lehmann:
Detecting Linked Data quality issues via crowdsourcing: A DBpedia study. Semantic Web 9(3): 303-335 (2018) - [j20]Ali Ismayilov, Dimitris Kontokostas, Sören Auer, Jens Lehmann, Sebastian Hellmann:
Wikidata through the eyes of DBpedia. Semantic Web 9(4): 493-503 (2018) - 2017
- [j19]Konrad Höffner, Sebastian Walter, Edgard Marx, Ricardo Usbeck, Jens Lehmann, Axel-Cyrille Ngonga Ngomo:
Survey on challenges of Question Answering in the Semantic Web. Semantic Web 8(6): 895-920 (2017) - 2016
- [j18]Amrapali Zaveri, Anisa Rula, Andrea Maurino, Ricardo Pietrobon, Jens Lehmann, Sören Auer:
Quality assessment for Linked Data: A Survey. Semantic Web 7(1): 63-93 (2016) - [j17]Konrad Höffner, Michael Martin, Jens Lehmann:
LinkedSpending: OpenSpending becomes Linked Open Data. Semantic Web 7(1): 95-104 (2016) - [j16]Lorenz Bühmann, Jens Lehmann, Patrick Westphal:
DL-Learner - A framework for inductive learning on the Semantic Web. J. Web Semant. 39: 15-24 (2016) - 2015
- [j15]Jens Lehmann, Óscar Corcho:
2nd special issue on Linked Dataset Descriptions. Semantic Web 6(2): 103-104 (2015) - [j14]Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, Christian Bizer:
DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia. Semantic Web 6(2): 167-195 (2015) - [j13]Daniel Gerber, Diego Esteves, Jens Lehmann, Lorenz Bühmann, Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, René Speck:
DeFacto - Temporal and multilingual Deep Fact Validation. J. Web Semant. 35: 85-101 (2015) - 2014
- [j12]Michael Martin, Claus Stadler, Philipp Frischmuth, Jens Lehmann:
Increasing the financial transparency of European Commission project funding. Semantic Web 5(2): 157-164 (2014) - 2013
- [j11]Sören Auer, Jens Lehmann, Axel-Cyrille Ngonga Ngomo, Claus Stadler, Jörg Unbehauen:
Extraktion, Mapping und Verlinkung von Daten im Web - Phasen im Lebenszyklus von Linked Data. Datenbank-Spektrum 13(2): 77-87 (2013) - [j10]Amrapali Zaveri, Jens Lehmann, Sören Auer, Mofeed Mohamed Hassan, Mohamed Ahmed Sherif, Michael Martin:
Publishing and interlinking the Global Health Observatory dataset - Towards increasing transparency in Global Health. Semantic Web 4(3): 315-322 (2013) - 2012
- [j9]Mohamed Morsey, Jens Lehmann, Sören Auer, Claus Stadler, Sebastian Hellmann:
DBpedia and the live extraction of structured data from Wikipedia. Program 46(2): 157-181 (2012) - [j8]Claus Stadler, Jens Lehmann, Konrad Höffner, Sören Auer:
LinkedGeoData: A core for a web of spatial open data. Semantic Web 3(4): 333-354 (2012) - 2011
- [j7]Jens Lehmann, Sören Auer, Lorenz Bühmann, Sebastian Tramp:
Class expression learning for ontology engineering. J. Web Semant. 9(1): 71-81 (2011) - 2010
- [j6]Jens Lehmann, Sebastian Bader, Pascal Hitzler:
Extracting reduced logic programs from artificial neural networks. Appl. Intell. 32(3): 249-266 (2010) - [j5]Jens Lehmann, Pascal Hitzler:
Concept learning in description logics using refinement operators. Mach. Learn. 78(1-2): 203-250 (2010) - [j4]Sören Auer, Jens Lehmann:
Creating knowledge out of interlinked data. Semantic Web 1(1-2): 97-104 (2010) - 2009
- [j3]Sebastian Hellmann, Jens Lehmann, Sören Auer:
Learning of OWL Class Descriptions on Very Large Knowledge Bases. Int. J. Semantic Web Inf. Syst. 5(2): 25-48 (2009) - [j2]Jens Lehmann:
DL-Learner: Learning Concepts in Description Logics. J. Mach. Learn. Res. 10: 2639-2642 (2009) - [j1]Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, Sebastian Hellmann:
DBpedia - A crystallization point for the Web of Data. J. Web Semant. 7(3): 154-165 (2009)
Conference and Workshop Papers
- 2024
- [c256]Dongkyu Lee, Chandana Satya Prakash, Jack FitzGerald, Jens Lehmann:
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources. ACL (Findings) 2024: 16110-16121 - [c255]Kossi Amouzouvi, Bowen Song, Sahar Vahdati, Jens Lehmann:
Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion. LREC/COLING 2024: 9832-9842 - [c254]Jens Lehmann, Antonello Meloni, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Sahar Vahdati:
Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. ESWC (1) 2024: 199-217 - [c253]Nacime Bouziani, Shubhi Tyagi, Joseph Fisher, Jens Lehmann, Andrea Pierleoni:
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking. NAACL (Industry Track) 2024: 119-130 - [c252]Zheng Zhao, Emilio Monti, Jens Lehmann, Haytham Assem:
Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding. NAACL-HLT 2024: 4225-4237 - 2023
- [c251]Mojtaba Nayyeri, Bo Xiong, Majid Mohammadi, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Jens Lehmann, Steffen Staab:
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories. ACL (Findings) 2023: 7165-7179 - [c250]Jinheon Baek, Alham Fikri Aji, Jens Lehmann, Sung Ju Hwang:
Direct Fact Retrieval from Knowledge Graphs without Entity Linking. ACL (1) 2023: 10038-10055 - [c249]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches. AIKE 2023: 46-53 - [c248]Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam, Pascal Welke, Michael Martin, Jens Lehmann, Sahar Vahdati:
Retention is All You Need. CIKM 2023: 4752-4758 - [c247]Jens Lehmann, Sébastien Ferré, Sahar Vahdati:
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. ECAI 2023: 1348-1356 - [c246]Anil Ramakrishna, Rahul Gupta, Jens Lehmann, Morteza Ziyadi:
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. EMNLP (Findings) 2023: 5422-5429 - [c245]Peerat Limkonchotiwat, Weiwei Cheng, Christos Christodoulopoulos, Amir Saffari, Jens Lehmann:
mReFinED: An Efficient End-to-End Multilingual Entity Linking System. EMNLP (Findings) 2023: 15080-15089 - [c244]Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati:
Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs. ECML/PKDD (3) 2023: 601-616 - [c243]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs. ICSC 2023: 204-211 - [c242]Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab:
Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces. ISWC 2023: 388-407 - 2022
- [c241]Md. Rashad Al Hasan Rony, Liubov Kovriguina, Debanjan Chaudhuri, Ricardo Usbeck, Jens Lehmann:
RoMe: A Robust Metric for Evaluating Natural Language Generation. ACL (1) 2022: 5645-5657 - [c240]Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann:
SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs. AIKE 2022: 1-8 - [c239]Carsten Felix Draschner, Hajira Jabeen, Jens Lehmann:
Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning. AIKE 2022: 53-60 - [c238]Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann:
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs. CIKM 2022: 925-934 - [c237]Mojtaba Nayyeri, Sahar Vahdati, Md Tansen Khan, Mirza Mohtashim Alam, Lisa Wenige, Andreas Behrend, Jens Lehmann:
Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion. ESWC 2022: 253-269 - [c236]Md. Rashad Al Hasan Rony, Ying Zuo, Liubov Kovriguina, Roman Teucher, Jens Lehmann:
Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering. IJCAI 2022: 5249-5252 - [c235]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI 2022: 5259-5263 - [c234]Md. Rashad Al Hasan Rony, Ricardo Usbeck, Jens Lehmann:
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation. NAACL-HLT (Findings) 2022: 2557-2571 - [c233]Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
DistAD: A Distributed Generic Anomaly Detection Framework over Large KGs. ICSC 2022: 243-250 - [c232]Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann:
Time-aware Entity Alignment using Temporal Relational Attention. WWW 2022: 788-797 - 2021
- [c231]Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. AAAI 2021: 9064-9072 - [c230]Fabian Galetzka, Jewgeni Rose, David Schlangen, Jens Lehmann:
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer. ACL/IJCNLP (1) 2021: 7028-7041 - [c229]Carsten Felix Draschner, Claus Stadler, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
DistRDF2ML - Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs. CIKM 2021: 4465-4474 - [c228]Manoj Prabhakar Kannan Ravi, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Jens Lehmann:
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata. EACL 2021: 504-514 - [c227]Endri Kacupaj, Joan Plepi, Kuldeep Singh, Harsh Thakkar, Jens Lehmann, Maria Maleshkova:
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks. EACL 2021: 850-862 - [c226]Mojtaba Nayyeri, Sahar Vahdati, Emanuel Sallinger, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Pattern-Aware and Noise-Resilient Embedding Models. ECIR (1) 2021: 483-496 - [c225]Rostislav Nedelchev, Jens Lehmann, Ricardo Usbeck:
Proxy Indicators for the Quality of Open-domain Dialogues. EMNLP (1) 2021: 7834-7855 - [c224]Chengjin Xu, Fenglong Su, Jens Lehmann:
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs. EMNLP (1) 2021: 8999-9010 - [c223]Mojtaba Nayyeri, Chengjin Xu, Franca Hoffmann, Mirza Mohtashim Alam, Jens Lehmann, Sahar Vahdati:
Knowledge Graph Representation Learning using Ordinary Differential Equations. EMNLP (1) 2021: 9529-9548 - [c222]Nico Wilhelm, Diego Collarana, Jens Lehmann:
A Virtual Knowledge Graph for Enabling Defect Traceability and Customer Service Analytics. ESWC (Satellite Events) 2021: 245-248 - [c221]Debanjan Chaudhuri, Md. Rashad Al Hasan Rony, Jens Lehmann:
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers. ESWC 2021: 323-339 - [c220]Joan Plepi, Endri Kacupaj, Kuldeep Singh, Harsh Thakkar, Jens Lehmann:
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs. ESWC 2021: 356-371 - [c219]Endri Kacupaj, Barshana Banerjee, Kuldeep Singh, Jens Lehmann:
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation. ESWC 2021: 598-613 - [c218]Farshad Bakhshandegan Moghaddam, Carsten Draschner, Jens Lehmann, Hajira Jabeen:
Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor. SEMANTiCS 2021: 74-88 - [c217]Afshin Sadeghi, Xhulia Shahini, Martin Schmitz, Jens Lehmann:
BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings. SEMANTiCS (Posters & Demos) 2021 - [c216]Heba Mohamed, Said Fathalla, Jens Lehmann, Hajira Jabeen:
A Scalable Approach for Distributed Reasoning over Large-scale OWL Datasets. KEOD 2021: 51-60 - [c215]Diego Esteves, José Marcelino, Piyush Chawla, Asja Fischer, Jens Lehmann:
HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data. IDA 2021: 89-100 - [c214]Chengjin Xu, Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann:
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings. IJCNN 2021: 1-8 - [c213]Patrick Westphal, Sahar Vahdati, Jens Lehmann:
A Simulated Annealing Meta-heuristic for Concept Learning in Description Logics. ILP 2021: 266-281 - [c212]Farshad Bakhshandegan Moghaddam, Carsten Felix Draschner, Jens Lehmann, Hajira Jabeen:
Semantic Web Analysis with Flavor of Micro-Services. LAMBDA-PhD 2021: 5-12 - [c211]Carsten Felix Draschner, Farshad Bakhshandegan Moghaddam, Jens Lehmann, Hajira Jabeen:
Semantic Analytics in the Palm of your Browser. LAMBDA-PhD 2021: 13-20 - [c210]Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, Jens Lehmann:
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings. NAACL-HLT 2021: 2569-2578 - [c209]Afshin Sadeghi, Hirra Malik, Diego Collarana, Jens Lehmann:
Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task. NeurIPS Datasets and Benchmarks 2021 - [c208]Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Sahar Vahdati, Mirza Mohtashim Alam, Hamed Shariat Yazdi, Jens Lehmann:
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models. PAKDD (3) 2021: 77-89 - [c207]Afshin Sadeghi, Diego Collarana, Damien Graux, Jens Lehmann:
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities. ECML/PKDD (2) 2021: 548-564 - [c206]Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh, Jens Lehmann, Maria Maleshkova:
VOGUE: Answer Verbalization Through Multi-Task Learning. ECML/PKDD (3) 2021: 563-579 - [c205]Carsten Felix Draschner, Jens Lehmann, Hajira Jabeen:
DistSim - Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs. ICSC 2021: 333-336 - [c204]