Publications

305 entries « 2 of 11 »

2021

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.

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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:

Ali, Mehdi; Berrendorf, Max; Hoyt, Charles Tapley; Vermue, Laurent; Sharifzadeh, Sahand; Tresp, Volker; Lehmann, Jens

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Journal Article

In: J. Mach. Learn. Res., 22 , pp. 82:1–82:6, 2021.

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

Westphal, Patrick; Vahdati, Sahar; Lehmann, Jens

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.

BibTeX | Research Area: Concept Learning in Description Logics | Links:

Sadeghi, Afshin; Malik, Hirra; Collarana, Diego; Lehmann, Jens

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.

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2020

Jabeen, Hajira; Weinz, Jonas; Lehmann, Jens

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.

BibTeX | Links:

Mulang, Isaiah Onando; Singh, Kuldeep; Prabhu, Chaitali; Nadgeri, Abhishek; Hoffart, Johannes; Lehmann, Jens

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.

BibTeX | Research Area: Knowledge Extraction | Links:

Armitage, Jason; Kacupaj, Endri; Tahmasebzadeh, Golsa; Swati,; Maleshkova, Maria; Ewerth, Ralph; Lehmann, Jens

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.

BibTeX | Links:

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

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.

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

Xu, Chengjin; Nayyeri, Mojtaba; Alkhoury, Fouad; Yazdi, Hamed Shariat; Lehmann, Jens

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.

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

Nedelchev, Rostislav; Lehmann, Jens; Usbeck, Ricardo

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.

BibTeX | Research Area: Dialogue Systems | Links:

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

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.

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

Sadeghi, Afshin; Graux, Damien; Yazdi, Hamed Shariat; Lehmann, Jens

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs Inproceedings

In: ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), pp. 1427–1434, IOS Press, 2020.

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

Zafar, Hamid; Tavakol, Maryam; Lehmann, Jens

Distantly Supervised Question Parsing Inproceedings

In: ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020), pp. 2290–2297, IOS Press, 2020.

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

Galkin, Mikhail; Trivedi, Priyansh; Maheshwari, Gaurav; Usbeck, Ricardo; Lehmann, Jens

Message Passing for Hyper-Relational Knowledge Graphs Inproceedings

In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, pp. 7346–7359, Association for Computational Linguistics, 2020.

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

Say, Zeynep; Fathalla, Said; Vahdati, Sahar; Lehmann, Jens; Auer, Sören

Ontology Design for Pharmaceutical Research Outcomes Inproceedings

In: Digital Libraries for Open Knowledge - 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, Lyon, France, August 25-27, 2020, Proceedings, pp. 119–132, Springer, 2020.

BibTeX | Links:

Alam, Mirza Mohtashim; Jabeen, Hajira; Ali, Mehdi; Mohiuddin, Karishma; Lehmann, Jens

Affinity Dependent Negative Sampling for Knowledge Graph Embeddings Inproceedings

In: Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020 - moved online, CEUR-WS.org, 2020.

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

Chau, Minh Triet; Esteves, Diego; Lehmann, Jens

A Neural-based model to Predict the Future Natural Gas Market Price through Open-domain Event Extraction Inproceedings

In: Proceedings of the 1st International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 17th Extended Semantic Web Conference (ESWC 2020), Heraklion, Crete, Greece, June 3, 2020 (online event due to COVID-19 outbreak), pp. 17–31, CEUR-WS.org, 2020.

BibTeX | Research Area: Knowledge Extraction | Links:

Armitage, Jason; Thakur, Shramana; Tripathi, Rishi; Maleshkova, Maria; Lehmann, Jens

Training Multimodal Systems for Classification with Multiple Objectives Inproceedings

In: Proceedings of the 1st International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 17th Extended Semantic Web Conference (ESWC 2020), Heraklion, Crete, Greece, June 3, 2020 (online event due to COVID-19 outbreak), pp. 57–71, CEUR-WS.org, 2020.

BibTeX | Links:

Nayyeri, Mojtaba; Vahdati, Sahar; Zhou, Xiaotian; Yazdi, Hamed Shariat; Lehmann, Jens

Embedding-Based Recommendations on Scholarly Knowledge Graphs Inproceedings

In: The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 255–270, Springer, 2020.

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

Kacupaj, Endri; Zafar, Hamid; Lehmann, Jens; Maleshkova, Maria

VQuAnDa: Verbalization QUestion ANswering DAtaset Inproceedings

In: The Semantic Web - 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings, pp. 531–547, Springer, 2020.

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

Graux, Damien; Sejdiu, Gezim; Stadler, Claus; Napolitano, Giulio; Lehmann, Jens

MINDS: A Translator to Embed Mathematical Expressions Inside SPARQL Queries Inproceedings

In: Semantic Systems. In the Era of Knowledge Graphs - 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7-10, 2020, Proceedings, pp. 104–117, Springer, 2020.

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