Publications

325 entries « 2 of 11 »

2021

Nayyeri, Mojtaba; Xu, Chengjin; Yaghoobzadeh, Yadollah; Vahdati, Sahar; Alam, Mirza Mohtashim; Yazdi, Hamed Shariat; Lehmann, Jens

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.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Draschner, Carsten Felix; Lehmann, Jens; Jabeen, Hajira

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.

BibTeX | Research Area: Distributed Analytics | Links:

Nayyeri, Mojtaba; Vahdati, Sahar; Aykul, Can; Lehmann, Jens

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.

BibTeX | Research Area: Representation Learning in Knowledge Graphs, Top Publications | Links:

Chaudhuri, Debanjan; Rony, Md. Rashad Al Hasan; Lehmann, Jens

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.

BibTeX | Research Area: Dialogue Systems | Links:

Plepi, Joan; Kacupaj, Endri; Singh, Kuldeep; Thakkar, Harsh; Lehmann, Jens

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.

BibTeX | Research Area: Dialogue Systems, Question Answering over Knowledge Graphs | Links:

Kacupaj, Endri; Banerjee, Barshana; Singh, Kuldeep; Lehmann, Jens

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.

BibTeX | Research Area: Question Answering over Knowledge Graphs | Links:

Xu, Chengjin; Chen, Yung-Yu; Nayyeri, Mojtaba; Lehmann, Jens

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.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Tahmasebzadeh, Golsa; Kacupaj, Endri; Müller-Budack, Eric; Hakimov, Sherzod; Lehmann, Jens; Ewerth, Ralph

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.

BibTeX | Research Area: Spatial Data in the Semantic Web | Links:

Wilhelm, Nico; Collarana, Diego; Lehmann, Jens

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.

BibTeX | Research Area: Knowledge Extraction | Links:

Galetzka, Fabian; Rose, Jewgeni; Schlangen, David; Lehmann, Jens

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.

BibTeX | Research Area: Dialogue Systems | Links:

Sadeghi, Afshin; Collarana, Diego; Graux, Damien; Lehmann, Jens

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.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Kacupaj, Endri; Premnadh, Shyamnath; Singh, Kuldeep; Lehmann, Jens; Maleshkova, Maria

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.

BibTeX | Research Area: Question Answering over Knowledge Graphs | Links:

Sadeghi, Afshin; Shahini, Xhulia; Schmitz, Martin; Lehmann, Jens

BenchEmbedd: A FAIR Benchmarking tool for Knowledge 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.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Xu, Chengjin; Nayyeri, Mojtaba; Vahdati, Sahar; Lehmann, Jens

Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph Embeddings Inproceedings

In: International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, pp. 1–8, IEEE, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Ali, Mehdi; Berrendorf, Max; Galkin, Mikhail; Thost, Veronika; Ma, Tengfei; Tresp, Volker; Lehmann, Jens

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.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Chakraborty, Nilesh; Lukovnikov, Denis; Maheshwari, Gaurav; Trivedi, Priyansh; Lehmann, Jens; Fischer, Asja

Introduction to neural network-based question answering over knowledge graphs Journal Article

In: Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 11 (3), 2021.

BibTeX | Research Area: Question Answering over Knowledge Graphs | Links:

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Kravchenko, Andrey; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Motta, Enrico; Lehmann, Jens

Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain Journal Article

In: IEEE Access, 9 , pp. 116002–116014, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Oliveira, Italo Lopes; Fileto, Renato; Speck, René; Garcia, Luís Paulo F.; Moussallem, Diego; Lehmann, Jens

Towards holistic Entity Linking: Survey and directions Journal Article

In: Information Systems, 95 , pp. 101624, 2021.

BibTeX | Research Area: Knowledge Extraction | Links:

Nayyeri, Mojtaba; Cil, Gökce Müge; Vahdati, Sahar; Osborne, Francesco; Rahman, Mahfuzur; Angioni, Simone; Salatino, Angelo A.; Recupero, Diego Reforgiato; Vassilyeva, Nadezhda; Motta, Enrico; Lehmann, Jens

Trans4E: Link prediction on scholarly knowledge graphs Journal Article

In: Neurocomputing, 461 , pp. 530–542, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Draschner, Carsten Felix; Stadler, Claus; Moghaddam, Farshad Bakhshandegan; Lehmann, Jens; Jabeen, Hajira

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.

BibTeX | Research Area: Distributed Analytics | Links:

Nedelchev, Rostislav; Lehmann, Jens; Usbeck, Ricardo

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.

BibTeX | Research Area: Dialogue Systems | Links:

Xu, Chengjin; Su, Fenglong; Lehmann, Jens

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.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Nayyeri, Mojtaba; Xu, Chengjin; Hoffmann, Franca; Alam, Mirza Mohtashim; Lehmann, Jens; Vahdati, Sahar

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.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Alam, Mehwish; Ali, Mehdi; Groth, Paul; Hitzler, Pascal; Lehmann, Jens; Paulheim, Heiko; Rettinger, Achim; Sack, Harald; Sadeghi, Afshin; Tresp, Volker (Ed.)

Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021 Proceeding

CEUR-WS.org, 2997 , 2021.

BibTeX | Links:

Rivas, Ariam; Grangel-González, Irlán; Collarana, Diego; Lehmann, Jens; Vidal, Maria-Esther

Discover Relations in the Industry 4.0 Standards Via Unsupervised Learning on Knowledge Graph Embeddings Journal Article

In: J. Data Intell., 2 (3), pp. 326–347, 2021.

BibTeX | Research Area: Representation Learning in Knowledge Graphs | Links:

Mohamed, Heba; Fathalla, Said; Lehmann, Jens; Jabeen, Hajira

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.

BibTeX | Research Area: Distributed Analytics | Links:

Grubenmann, Tobias; Lehmann, Jens

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.

BibTeX | Links:

Lackner, Arthur; Fathalla, Said; Nayyeri, Mojtaba; Behrend, Andreas; Manthey, Rainer; Auer, Sören; Lehmann, Jens; Vahdati, Sahar

Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade Journal Article

In: Scientometrics, 126 (9), pp. 8129–8151, 2021.

BibTeX | Links:

Bharadhwaj, Vinay Srinivas; Ali, Mehdi; Birkenbihl, Colin; Mubeen, Sarah; Lehmann, Jens; Hofmann-Apitius, Martin; Hoyt, Charles Tapley; Domingo-Fernández, Daniel

CLEP: a hybrid data- and knowledge-driven framework for generating patient representations Journal Article

In: Bioinform., 37 (19), pp. 3311–3318, 2021.

BibTeX | Links:

Moghaddam, Farshad Bakhshandegan; Draschner, Carsten; Lehmann, Jens; Jabeen, Hajira

Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor Inproceedings

In: Further with Knowledge Graphs - Proceedings of the 17th International Conference on Semantic Systems, SEMANTiCS, Amsterdam, The Netherlands, September 6-9, 2021, pp. 74–88, IOS Press, 2021.

BibTeX | Research Area: Distributed Analytics | Links:

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