[{"author":[{"first_name":"Daniel","full_name":"Vollmers, Daniel","last_name":"Vollmers"},{"first_name":"Rricha","full_name":"Jalota, Rricha","id":"69526","last_name":"Jalota"},{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"full_name":"Topiwala, Hardik","last_name":"Topiwala","first_name":"Hardik"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"},{"last_name":"Usbeck","full_name":"Usbeck, Ricardo","first_name":"Ricardo"}],"date_created":"2021-10-01T06:51:45Z","volume":"abs/2103.06752","date_updated":"2022-01-06T06:56:55Z","title":"Knowledge Graph Question Answering using Graph-Pattern Isomorphism","citation":{"ama":"Vollmers D, Jalota R, Moussallem D, Topiwala H, Ngonga Ngomo A-C, Usbeck R. Knowledge Graph Question Answering using Graph-Pattern Isomorphism. <i>CoRR</i>. 2021;abs/2103.06752.","chicago":"Vollmers, Daniel, Rricha Jalota, Diego Moussallem, Hardik Topiwala, Axel-Cyrille Ngonga Ngomo, and Ricardo Usbeck. “Knowledge Graph Question Answering Using Graph-Pattern Isomorphism.” <i>CoRR</i> abs/2103.06752 (2021).","ieee":"D. Vollmers, R. Jalota, D. Moussallem, H. Topiwala, A.-C. Ngonga Ngomo, and R. Usbeck, “Knowledge Graph Question Answering using Graph-Pattern Isomorphism,” <i>CoRR</i>, vol. abs/2103.06752, 2021.","short":"D. Vollmers, R. Jalota, D. Moussallem, H. Topiwala, A.-C. Ngonga Ngomo, R. Usbeck, CoRR abs/2103.06752 (2021).","bibtex":"@article{Vollmers_Jalota_Moussallem_Topiwala_Ngonga Ngomo_Usbeck_2021, title={Knowledge Graph Question Answering using Graph-Pattern Isomorphism}, volume={abs/2103.06752}, journal={CoRR}, author={Vollmers, Daniel and Jalota, Rricha and Moussallem, Diego and Topiwala, Hardik and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}, year={2021} }","mla":"Vollmers, Daniel, et al. “Knowledge Graph Question Answering Using Graph-Pattern Isomorphism.” <i>CoRR</i>, vol. abs/2103.06752, 2021.","apa":"Vollmers, D., Jalota, R., Moussallem, D., Topiwala, H., Ngonga Ngomo, A.-C., &#38; Usbeck, R. (2021). Knowledge Graph Question Answering using Graph-Pattern Isomorphism. <i>CoRR</i>, <i>abs/2103.06752</i>."},"year":"2021","user_id":"65716","department":[{"_id":"574"}],"_id":"25211","language":[{"iso":"eng"}],"type":"journal_article","publication":"CoRR","status":"public"},{"publication":"Proceedings of the 11th on Knowledge Capture Conference","type":"conference","status":"public","_id":"29486","department":[{"_id":"574"}],"user_id":"76787","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-1-4503-8457-5"]},"publication_status":"published","year":"2021","place":"Virtual Event, USA","page":"73–80","citation":{"apa":"Firmansyah, A. F., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2021). GATES: Using Graph Attention Networks for Entity Summarization. <i>Proceedings of the 11th on Knowledge Capture Conference</i>, 73–80. <a href=\"https://doi.org/10.1145/3460210.3493574\">https://doi.org/10.1145/3460210.3493574</a>","bibtex":"@inproceedings{Firmansyah_Moussallem_Ngonga Ngomo_2021, place={Virtual Event, USA}, title={GATES: Using Graph Attention Networks for Entity Summarization}, DOI={<a href=\"https://doi.org/10.1145/3460210.3493574\">10.1145/3460210.3493574</a>}, booktitle={Proceedings of the 11th on Knowledge Capture Conference}, publisher={ACM}, author={Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={73–80} }","short":"A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Proceedings of the 11th on Knowledge Capture Conference, ACM, Virtual Event, USA, 2021, pp. 73–80.","mla":"Firmansyah, Asep Fajar, et al. “GATES: Using Graph Attention Networks for Entity Summarization.” <i>Proceedings of the 11th on Knowledge Capture Conference</i>, ACM, 2021, pp. 73–80, doi:<a href=\"https://doi.org/10.1145/3460210.3493574\">10.1145/3460210.3493574</a>.","chicago":"Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “GATES: Using Graph Attention Networks for Entity Summarization.” In <i>Proceedings of the 11th on Knowledge Capture Conference</i>, 73–80. Virtual Event, USA: ACM, 2021. <a href=\"https://doi.org/10.1145/3460210.3493574\">https://doi.org/10.1145/3460210.3493574</a>.","ieee":"A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “GATES: Using Graph Attention Networks for Entity Summarization,” in <i>Proceedings of the 11th on Knowledge Capture Conference</i>, 2021, pp. 73–80, doi: <a href=\"https://doi.org/10.1145/3460210.3493574\">10.1145/3460210.3493574</a>.","ama":"Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. GATES: Using Graph Attention Networks for Entity Summarization. In: <i>Proceedings of the 11th on Knowledge Capture Conference</i>. ACM; 2021:73–80. doi:<a href=\"https://doi.org/10.1145/3460210.3493574\">10.1145/3460210.3493574</a>"},"publisher":"ACM","date_updated":"2022-01-20T09:03:38Z","date_created":"2022-01-20T08:37:12Z","author":[{"last_name":"Firmansyah","full_name":"Firmansyah, Asep Fajar","id":"76787","first_name":"Asep Fajar"},{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"first_name":"Axel-Cyrille","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"title":"GATES: Using Graph Attention Networks for Entity Summarization","doi":"10.1145/3460210.3493574"},{"language":[{"iso":"eng"}],"_id":"29287","external_id":{"arxiv":["2106.15230"]},"department":[{"_id":"574"}],"user_id":"11871","abstract":[{"text":"Knowledge graph embedding research has mainly focused on the two smallest\r\nnormed division algebras, $\\mathbb{R}$ and $\\mathbb{C}$. Recent results suggest\r\nthat trilinear products of quaternion-valued embeddings can be a more effective\r\nmeans to tackle link prediction. In addition, models based on convolutions on\r\nreal-valued embeddings often yield state-of-the-art results for link\r\nprediction. In this paper, we investigate a composition of convolution\r\noperations with hypercomplex multiplications. We propose the four approaches\r\nQMult, OMult, ConvQ and ConvO to tackle the link prediction problem. QMult and\r\nOMult can be considered as quaternion and octonion extensions of previous\r\nstate-of-the-art approaches, including DistMult and ComplEx. ConvQ and ConvO\r\nbuild upon QMult and OMult by including convolution operations in a way\r\ninspired by the residual learning framework. We evaluated our approaches on\r\nseven link prediction datasets including WN18RR, FB15K-237 and YAGO3-10.\r\nExperimental results suggest that the benefits of learning hypercomplex-valued\r\nvector representations become more apparent as the size and complexity of the\r\nknowledge graph grows. ConvO outperforms state-of-the-art approaches on\r\nFB15K-237 in MRR, Hit@1 and Hit@3, while QMult, OMult, ConvQ and ConvO\r\noutperform state-of-the-approaches on YAGO3-10 in all metrics. Results also\r\nsuggest that link prediction performances can be further improved via\r\nprediction averaging. To foster reproducible research, we provide an\r\nopen-source implementation of approaches, including training and evaluation\r\nscripts as well as pretrained models.","lang":"eng"}],"status":"public","publication":"The 13th Asian Conference on Machine Learning, ACML 2021","type":"conference","title":"Convolutional Hypercomplex Embeddings for Link Prediction","main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2021/ACML2021_HyperConv/public.pdf"}],"date_updated":"2022-10-17T15:06:40Z","oa":"1","author":[{"first_name":"Caglar","id":"43817","full_name":"Demir, Caglar","last_name":"Demir"},{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"full_name":"Heindorf, Stefan","id":"11871","orcid":"0000-0002-4525-6865","last_name":"Heindorf","first_name":"Stefan"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_created":"2022-01-12T10:21:10Z","year":"2021","citation":{"ama":"Demir C, Moussallem D, Heindorf S, Ngonga Ngomo A-C. Convolutional Hypercomplex Embeddings for Link Prediction. In: <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>. ; 2021.","chicago":"Demir, Caglar, Diego Moussallem, Stefan Heindorf, and Axel-Cyrille Ngonga Ngomo. “Convolutional Hypercomplex Embeddings for Link Prediction.” In <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>, 2021.","ieee":"C. Demir, D. Moussallem, S. Heindorf, and A.-C. Ngonga Ngomo, “Convolutional Hypercomplex Embeddings for Link Prediction,” 2021.","apa":"Demir, C., Moussallem, D., Heindorf, S., &#38; Ngonga Ngomo, A.-C. (2021). Convolutional Hypercomplex Embeddings for Link Prediction. <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>.","mla":"Demir, Caglar, et al. “Convolutional Hypercomplex Embeddings for Link Prediction.” <i>The 13th Asian Conference on Machine Learning, ACML 2021</i>, 2021.","bibtex":"@inproceedings{Demir_Moussallem_Heindorf_Ngonga Ngomo_2021, title={Convolutional Hypercomplex Embeddings for Link Prediction}, booktitle={The 13th Asian Conference on Machine Learning, ACML 2021}, author={Demir, Caglar and Moussallem, Diego and Heindorf, Stefan and Ngonga Ngomo, Axel-Cyrille}, year={2021} }","short":"C. Demir, D. Moussallem, S. Heindorf, A.-C. Ngonga Ngomo, in: The 13th Asian Conference on Machine Learning, ACML 2021, 2021."}},{"status":"public","type":"conference","publication":"2021 IEEE 15th International Conference on Semantic Computing (ICSC)","language":[{"iso":"eng"}],"user_id":"70843","_id":"55074","citation":{"ieee":"R. Speck, D. Moussallem, and A.-C. N. Ngomo, “Twitter network mimicking for data storage benchmarking,” in <i>2021 IEEE 15th International Conference on Semantic Computing (ICSC)</i>, 2021, pp. 298–305.","chicago":"Speck, René, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Twitter Network Mimicking for Data Storage Benchmarking.” In <i>2021 IEEE 15th International Conference on Semantic Computing (ICSC)</i>, 298–305, 2021.","ama":"Speck R, Moussallem D, Ngomo A-CN. Twitter network mimicking for data storage benchmarking. In: <i>2021 IEEE 15th International Conference on Semantic Computing (ICSC)</i>. ; 2021:298–305.","mla":"Speck, René, et al. “Twitter Network Mimicking for Data Storage Benchmarking.” <i>2021 IEEE 15th International Conference on Semantic Computing (ICSC)</i>, 2021, pp. 298–305.","bibtex":"@inproceedings{Speck_Moussallem_Ngomo_2021, title={Twitter network mimicking for data storage benchmarking}, booktitle={2021 IEEE 15th International Conference on Semantic Computing (ICSC)}, author={Speck, René and Moussallem, Diego and Ngomo, Axel-Cyrille Ngonga}, year={2021}, pages={298–305} }","short":"R. Speck, D. Moussallem, A.-C.N. Ngomo, in: 2021 IEEE 15th International Conference on Semantic Computing (ICSC), 2021, pp. 298–305.","apa":"Speck, R., Moussallem, D., &#38; Ngomo, A.-C. N. (2021). Twitter network mimicking for data storage benchmarking. <i>2021 IEEE 15th International Conference on Semantic Computing (ICSC)</i>, 298–305."},"page":"298–305","year":"2021","title":"Twitter network mimicking for data storage benchmarking","date_created":"2024-07-04T11:59:39Z","author":[{"first_name":"René","last_name":"Speck","full_name":"Speck, René","id":"70843"},{"full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem","first_name":"Diego"},{"last_name":"Ngomo","full_name":"Ngomo, Axel-Cyrille Ngonga","first_name":"Axel-Cyrille Ngonga"}],"date_updated":"2024-07-04T12:07:49Z"},{"author":[{"first_name":"Abdullah","full_name":"Fathi Ahmed, Abdullah","last_name":"Fathi Ahmed"},{"first_name":"Mohamed","full_name":"Sherif, Mohamed","id":"67234","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif"},{"first_name":"Diego","full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"}],"date_created":"2021-12-17T09:51:15Z","date_updated":"2023-08-16T10:26:16Z","doi":"https://doi.org/10.1016/j.datak.2021.101874","title":"Multilingual Verbalization and Summarization for Explainable Link Discovery","publication_identifier":{"issn":["0169-023X"]},"citation":{"chicago":"Fathi Ahmed, Abdullah, Mohamed Sherif, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “Multilingual Verbalization and Summarization for Explainable Link Discovery.” <i>Data &#38; Knowledge Engineering</i>, 2021, 101874. <a href=\"https://doi.org/10.1016/j.datak.2021.101874\">https://doi.org/10.1016/j.datak.2021.101874</a>.","ieee":"A. Fathi Ahmed, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo, “Multilingual Verbalization and Summarization for Explainable Link Discovery,” <i>Data &#38; Knowledge Engineering</i>, p. 101874, 2021, doi: <a href=\"https://doi.org/10.1016/j.datak.2021.101874\">https://doi.org/10.1016/j.datak.2021.101874</a>.","ama":"Fathi Ahmed A, Sherif M, Moussallem D, Ngonga Ngomo A-C. Multilingual Verbalization and Summarization for Explainable Link Discovery. <i>Data &#38; Knowledge Engineering</i>. Published online 2021:101874. doi:<a href=\"https://doi.org/10.1016/j.datak.2021.101874\">https://doi.org/10.1016/j.datak.2021.101874</a>","short":"A. Fathi Ahmed, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo, Data &#38; Knowledge Engineering (2021) 101874.","mla":"Fathi Ahmed, Abdullah, et al. “Multilingual Verbalization and Summarization for Explainable Link Discovery.” <i>Data &#38; Knowledge Engineering</i>, 2021, p. 101874, doi:<a href=\"https://doi.org/10.1016/j.datak.2021.101874\">https://doi.org/10.1016/j.datak.2021.101874</a>.","bibtex":"@article{Fathi Ahmed_Sherif_Moussallem_Ngonga Ngomo_2021, title={Multilingual Verbalization and Summarization for Explainable Link Discovery}, DOI={<a href=\"https://doi.org/10.1016/j.datak.2021.101874\">https://doi.org/10.1016/j.datak.2021.101874</a>}, journal={Data &#38; Knowledge Engineering}, author={Fathi Ahmed, Abdullah and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={101874} }","apa":"Fathi Ahmed, A., Sherif, M., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2021). Multilingual Verbalization and Summarization for Explainable Link Discovery. <i>Data &#38; Knowledge Engineering</i>, 101874. <a href=\"https://doi.org/10.1016/j.datak.2021.101874\">https://doi.org/10.1016/j.datak.2021.101874</a>"},"page":"101874","year":"2021","user_id":"67234","_id":"29005","language":[{"iso":"eng"}],"keyword":["2021 sys:relevantFor:infai simba sherif ngonga ahmed limes dice raki moussallem libo opal knowgraphs"],"type":"journal_article","publication":"Data & Knowledge Engineering","status":"public","abstract":[{"lang":"eng","text":"The number and size of datasets abiding by the Linked Data paradigm increase every day. Discovering links between these datasets is thus central to achieving the vision behind the Data Web. Declarative Link Discovery (LD) frameworks rely on complex Link Specification (LS) to express the conditions under which two resources should be linked. Understanding such LS is not a trivial task for non-expert users. Particularly when such users are interested in generating LS to match their needs. Even if the user applies a machine learning algorithm for the automatic generation of the required LS, the challenge of explaining the resultant LS persists. Hence, providing explainable LS is the key challenge to enable users who are unfamiliar with underlying LS technologies to use them effectively and efficiently. In this paper, we extend our previous work (Ahmed et al., 2019) by proposing a generic multilingual approach that allows verbalization of LS in many languages, i.e., converts LS into understandable natural language text. In this work, we ported our LS verbalization framework into German and Spanish, in addition to English language. Our adequacy and fluency evaluations show that our approach can generate complete and easily understandable natural language descriptions even by lay users. Moreover, we devised an experimental neural approach for improving the quality of our generated texts. Our neural approach achieves promising results in terms of BLEU, METEOR and chrF++."}]},{"language":[{"iso":"eng"}],"_id":"55066","user_id":"70843","status":"public","type":"book_chapter","publication":"Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges","title":"Generating explanations in natural language from knowledge graphs","date_updated":"2024-12-03T11:36:17Z","publisher":"IOS Press","date_created":"2024-07-04T11:59:38Z","author":[{"last_name":"Moussallem","id":"71635","full_name":"Moussallem, Diego","first_name":"Diego"},{"first_name":"René","full_name":"Speck, René","id":"70843","last_name":"Speck"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille"}],"year":"2020","citation":{"bibtex":"@inbook{Moussallem_Speck_Ngonga Ngomo_2020, title={Generating explanations in natural language from knowledge graphs}, booktitle={Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges}, publisher={IOS Press}, author={Moussallem, Diego and Speck, René and Ngonga Ngomo, Axel-Cyrille}, year={2020}, pages={213–241} }","short":"D. Moussallem, R. Speck, A.-C. Ngonga Ngomo, in: Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges, IOS Press, 2020, pp. 213–241.","mla":"Moussallem, Diego, et al. “Generating Explanations in Natural Language from Knowledge Graphs.” <i>Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges</i>, IOS Press, 2020, pp. 213–241.","apa":"Moussallem, D., Speck, R., &#38; Ngonga Ngomo, A.-C. (2020). Generating explanations in natural language from knowledge graphs. In <i>Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges</i> (pp. 213–241). IOS Press.","chicago":"Moussallem, Diego, René Speck, and Axel-Cyrille Ngonga Ngomo. “Generating Explanations in Natural Language from Knowledge Graphs.” In <i>Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges</i>, 213–241. IOS Press, 2020.","ieee":"D. Moussallem, R. Speck, and A.-C. Ngonga Ngomo, “Generating explanations in natural language from knowledge graphs,” in <i>Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges</i>, IOS Press, 2020, pp. 213–241.","ama":"Moussallem D, Speck R, Ngonga Ngomo A-C. Generating explanations in natural language from knowledge graphs. In: <i>Knowledge Graphs for EXplainable Artificial Intelligence: Foundations, Applications and Challenges</i>. IOS Press; 2020:213–241."},"page":"213–241"},{"status":"public","type":"conference","publication":"The 11th edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki (Japan)","keyword":["lidiom sys:relevantFor:infai sys:relevantFor:bis group\\_aksw sherif simba dice moussallem esteves ngonga slipo sage projecthobbit geiser diesel simba"],"language":[{"iso":"eng"}],"_id":"29021","user_id":"67234","year":"2018","citation":{"ama":"Moussallem D, Sherif M, Esteves D, Zampieri M, Ngonga Ngomo A-C. LIdioms: A Multilingual Linked Idioms Data Set. In: <i>The 11th Edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki (Japan)</i>. ; 2018.","ieee":"D. Moussallem, M. Sherif, D. Esteves, M. Zampieri, and A.-C. Ngonga Ngomo, “LIdioms: A Multilingual Linked Idioms Data Set,” 2018.","chicago":"Moussallem, Diego, Mohamed Sherif, Diego Esteves, Marcos Zampieri, and Axel-Cyrille Ngonga Ngomo. “LIdioms: A Multilingual Linked Idioms Data Set.” In <i>The 11th Edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki (Japan)</i>, 2018.","short":"D. Moussallem, M. Sherif, D. Esteves, M. Zampieri, A.-C. Ngonga Ngomo, in: The 11th Edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki (Japan), 2018.","bibtex":"@inproceedings{Moussallem_Sherif_Esteves_Zampieri_Ngonga Ngomo_2018, title={LIdioms: A Multilingual Linked Idioms Data Set}, booktitle={The 11th edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki (Japan)}, author={Moussallem, Diego and Sherif, Mohamed and Esteves, Diego and Zampieri, Marcos and Ngonga Ngomo, Axel-Cyrille}, year={2018} }","mla":"Moussallem, Diego, et al. “LIdioms: A Multilingual Linked Idioms Data Set.” <i>The 11th Edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki (Japan)</i>, 2018.","apa":"Moussallem, D., Sherif, M., Esteves, D., Zampieri, M., &#38; Ngonga Ngomo, A.-C. (2018). LIdioms: A Multilingual Linked Idioms Data Set. <i>The 11th Edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki (Japan)</i>."},"title":"LIdioms: A Multilingual Linked Idioms Data Set","date_updated":"2023-08-16T09:33:54Z","author":[{"first_name":"Diego","id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem"},{"first_name":"Mohamed","orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","full_name":"Sherif, Mohamed","id":"67234"},{"first_name":"Diego","last_name":"Esteves","full_name":"Esteves, Diego"},{"first_name":"Marcos","full_name":"Zampieri, Marcos","last_name":"Zampieri"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_created":"2021-12-17T09:57:23Z"},{"type":"journal_article","publication":"arXiv preprint arXiv:1710.08691","citation":{"ama":"Ngomo A-CN, Röder M, Moussallem D, Usbeck R, Speck R. BENGAL: an automatic benchmark generator for entity recognition and linking. <i>arXiv preprint arXiv:171008691</i>. Published online 2017.","ieee":"A.-C. N. Ngomo, M. Röder, D. Moussallem, R. Usbeck, and R. Speck, “BENGAL: an automatic benchmark generator for entity recognition and linking,” <i>arXiv preprint arXiv:1710.08691</i>, 2017.","chicago":"Ngomo, Axel-Cyrille Ngonga, Michael Röder, Diego Moussallem, Ricardo Usbeck, and René Speck. “BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking.” <i>ArXiv Preprint ArXiv:1710.08691</i>, 2017.","apa":"Ngomo, A.-C. N., Röder, M., Moussallem, D., Usbeck, R., &#38; Speck, R. (2017). BENGAL: an automatic benchmark generator for entity recognition and linking. <i>ArXiv Preprint ArXiv:1710.08691</i>.","short":"A.-C.N. Ngomo, M. Röder, D. Moussallem, R. Usbeck, R. Speck, ArXiv Preprint ArXiv:1710.08691 (2017).","mla":"Ngomo, Axel-Cyrille Ngonga, et al. “BENGAL: An Automatic Benchmark Generator for Entity Recognition and Linking.” <i>ArXiv Preprint ArXiv:1710.08691</i>, 2017.","bibtex":"@article{Ngomo_Röder_Moussallem_Usbeck_Speck_2017, title={BENGAL: an automatic benchmark generator for entity recognition and linking}, journal={arXiv preprint arXiv:1710.08691}, author={Ngomo, Axel-Cyrille Ngonga and Röder, Michael and Moussallem, Diego and Usbeck, Ricardo and Speck, René}, year={2017} }"},"status":"public","year":"2017","date_created":"2024-07-04T11:59:37Z","user_id":"70843","author":[{"last_name":"Ngomo","full_name":"Ngomo, Axel-Cyrille Ngonga","first_name":"Axel-Cyrille Ngonga"},{"last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","full_name":"Röder, Michael","id":"67199","first_name":"Michael"},{"first_name":"Diego","last_name":"Moussallem","full_name":"Moussallem, Diego","id":"71635"},{"first_name":"Ricardo","last_name":"Usbeck","full_name":"Usbeck, Ricardo"},{"first_name":"René","id":"70843","full_name":"Speck, René","last_name":"Speck"}],"date_updated":"2024-07-04T12:07:03Z","_id":"55062","language":[{"iso":"eng"}],"title":"BENGAL: an automatic benchmark generator for entity recognition and linking"}]