Publications

346 entries « 1 of 12 »

2024

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

CLEP (Version 0.0.3) Miscellaneous

urlhttps://doi.org/10.5281/zenodo.10830122, 2024, (Accessed on YYYY-MM-DD.).

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Amouzouvi, Kossi; Song, Bowen; Vahdati, Sahar; Lehmann, Jens

Knowledge GeoGebra: Leveraging Geometry of Relation Embeddings in Knowledge Graph Completion Inproceedings

In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy, pp. 9832–9842, ELRA and ICCL, 2024.

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Saberi-Movahed, Farid; Biswas, Bitasta; Tiwari, Prayag; Lehmann, Jens; Vahdati, Sahar

Deep Nonnegative Matrix Factorization with Joint Global and Local Structure Preservation Journal Article

In: Expert Syst. Appl., 249 , pp. 123645, 2024.

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Lehmann, Jens; Meloni, Antonello; Motta, Enrico; Osborne, Francesco; Recupero, Diego Reforgiato; Salatino, Angelo Antonio; Vahdati, Sahar

Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark Inproceedings

In: The Semantic Web - 21st International Conference, ESWC 2024, Hersonissos, Crete, Greece, May 26-30, 2024, Proceedings, Part I, pp. 199–217, Springer, 2024.

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Lehmann, Jens; Bhandiwad, Dhananjay; Gattogi, Preetam; Vahdati, Sahar

Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources Journal Article

In: Trans. Assoc. Comput. Linguistics, 12 , pp. 786–802, 2024.

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Tiwari, Prayag; Movahed, Farid Saberi; Karami, Saeed; Saberi-Movahed, Farshad; Lehmann, Jens; Vahdati, Sahar

A Self-Representation Learning Method for Unsupervised Feature Selection using Feature Space Basis Journal Article

In: Trans. Mach. Learn. Res., 2024 , 2024.

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Lee, Dongkyu; Prakash, Chandana Satya; FitzGerald, Jack; Lehmann, Jens

MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources Inproceedings

In: Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, pp. 16110–16121, Association for Computational Linguistics, 2024.

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Zhao, Zheng; Monti, Emilio; Lehmann, Jens; Assem, Haytham

Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding Inproceedings

In: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024, pp. 4225–4237, Association for Computational Linguistics, 2024.

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Bouziani, Nacime; Tyagi, Shubhi; Fisher, Joseph; Lehmann, Jens; Pierleoni, Andrea

REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking Inproceedings

In: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, NAACL 2024, Mexico City, Mexico, June 16-21, 2024, pp. 119–130, Association for Computational Linguistics, 2024.

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Lehmann, Jens; Bhandiwad, Dhananjay; Gattogi, Preetam; Vahdati, Sahar

Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources Journal Article

In: Trans. Assoc. Comput. Linguistics, 12 , pp. 786–802, 2024.

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Safaei, Farhad; Nenadovic, Milos; Wittenstein, Jakob; Lehmann, Jens; Vahdati, Sahar

X-Vent: ICU Ventilation with Explainable Model-Based Reinforcement Learning Inproceedings

In: ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), pp. 4719–4726, IOS Press, 2024.

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Weber, Alexander Arno; Thellmann, Klaudia; Ebert, Jan; Flores-Herr, Nicolas; Lehmann, Jens; Fromm, Michael; Ali, Mehdi

Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? Inproceedings

In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 16-16, 2024, pp. 20829–20855, Association for Computational Linguistics, 2024.

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2023

Ibrahim, Shimaa; Fathalla, Said; Lehmann, Jens; Jabeen, Hajira

Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment Journal Article

In: IEEE Access, 11 , pp. 8581–8599, 2023.

BibTeX | Research Area: Ontology Matching | Links:

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

ExPAD: An Explainable Distributed Automatic Anomaly Detection Framework over Large KGs Inproceedings

In: 17th IEEE International Conference on Semantic Computing, ICSC 2023, Laguna Hills, CA, USA, February 1-3, 2023, pp. 204–211, IEEE, 2023.

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

Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion Journal Article

In: IEEE Trans. Knowl. Data Eng., 35 (5), pp. 4838–4851, 2023.

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Nayyeri, Mojtaba; Xu, Chengjin; Alam, Mirza Mohtashim; Lehmann, Jens; Yazdi, Hamed Shariat

LogicENN: A Neural Based Knowledge Graphs Embedding Model With Logical Rules Journal Article

In: IEEE Trans. Pattern Anal. Mach. Intell., 45 (6), pp. 7050–7062, 2023.

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

SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs Journal Article

In: Int. J. Semantic Comput., 17 (2), pp. 199–221, 2023.

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Nayyeri, Mojtaba; Xiong, Bo; Mohammadi, Majid; Akter, Mst. Mahfuja; Alam, Mirza Mohtashim; Lehmann, Jens; Staab, Steffen

Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories Inproceedings

In: Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, pp. 7165–7179, Association for Computational Linguistics, 2023.

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

Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approach Journal Article

In: Enterp. Inf. Syst., 17 (7), 2023.

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Baek, Jinheon; Aji, Alham Fikri; Lehmann, Jens; Hwang, Sung Ju

Direct Fact Retrieval from Knowledge Graphs without Entity Linking Inproceedings

In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, pp. 10038–10055, Association for Computational Linguistics, 2023.

BibTeX | Research Area: Language Models | Links:

Song, Bowen; Xu, Chengjin; Amouzouvi, Kossi; Wang, Maocai; Lehmann, Jens; Vahdati, Sahar

Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs Inproceedings

In: Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III, pp. 601–616, Springer, 2023.

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Lehmann, Jens; Ferré, Sébastien; Vahdati, Sahar

Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering Inproceedings

In: ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), pp. 1348–1356, IOS Press, 2023.

BibTeX | Research Area: Language Models | Links:

Mohiuddin, Karishma; Alam, Mirza Ariful; Alam, Mirza Mohtashim; Welke, Pascal; Martin, Michael; Lehmann, Jens; Vahdati, Sahar

Retention is All You Need Inproceedings

In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, pp. 4752–4758, ACM, 2023.

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Nayyeri, Mojtaba; Wang, Zihao; Akter, Mst. Mahfuja; Alam, Mirza Mohtashim; Rony, Md. Rashad Al Hasan; Lehmann, Jens; Staab, Steffen

Integrating Knowledge Graph Embeddings and Pre-trained Language Models in Hypercomplex Spaces Inproceedings

In: The Semantic Web - ISWC 2023 - 22nd International Semantic Web Conference, Athens, Greece, November 6-10, 2023, Proceedings, Part I, pp. 388–407, Springer, 2023.

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Ramakrishna, Anil; Gupta, Rahul; Lehmann, Jens; Ziyadi, Morteza

INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations Inproceedings

In: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pp. 5422–5429, Association for Computational Linguistics, 2023.

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Limkonchotiwat, Peerat; Cheng, Weiwei; Christodoulopoulos, Christos; Saffari, Amir; Lehmann, Jens

mReFinED: An Efficient End-to-End Multilingual Entity Linking System Inproceedings

In: Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, pp. 15080–15089, Association for Computational Linguistics, 2023.

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

Anomaly Detection for Numerical Literals in Knowledge Graphs: A Short Review of Approaches Inproceedings

In: Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2023, Laguna Hills, CA, USA, September 25-27, 2023, pp. 46–53, IEEE, 2023.

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2022

Westphal, Patrick; Grubenmann, Tobias; Collarana, Diego; Bin, Simon; Bühmann, Lorenz; Lehmann, Jens

Spatial concept learning and inference on geospatial polygon data Journal Article

In: Knowl. Based Syst., 241 , pp. 108233, 2022.

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

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

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.

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Xu, Chengjin; Su, Fenglong; Xiong, Bo; Lehmann, Jens

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.

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

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