Leonhard Hennig

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Christoph AltSenior Data Scientist, Bayer PharmaceuticalDirección de correo verificada de bayer.com
Aleksandra GabryszakGerman Research Center for Artificial Intelligence (DFKI)Dirección de correo verificada de dfki.de
Marc HübnerResearcher, German Research Center for Artificial IntelligenceDirección de correo verificada de dfki.de
Robert SchwarzenbergMachine Learning Engineer, Tiplu GmbHDirección de correo verificada de tiplu.de
Sahin AlbayrakProfessur für Informatik, Technische Universität BerlinDirección de correo verificada de dai-labor.de
Philippe ThomasGerman Research Center for Artificial IntelligenceDirección de correo verificada de dfki.de
Ernesto William De LucaProfessor of Human-Centred Artificial Intelligence, University of MagdeburgDirección de correo verificada de ovgu.de
Sebastian KrauseGoogleDirección de correo verificada de google.com
David HarbeckeResearcher, German Research Center for Artificial Intelligence (DFKI)Dirección de correo verificada de dfki.de
Sven SchmeierChief Engineer, DFKI GmbHDirección de correo verificada de dfki.de
Dirk WeissenbornInceptive Inc.Dirección de correo verificada de inceptive.team
Sebastian MöllerProfessor for Quality and Usability, TU Berlin and Scientific Director, DFKI and Adjunct ProfessorDirección de correo verificada de tu-berlin.de
Danuta PlochDirección de correo verificada de dai-labor.de
Yuxuan ChenDFKIDirección de correo verificada de dfki.de
Renlong AiDFKIDirección de correo verificada de dfki.de
Nils RethmeierResearcher at DFKI, PhD candidate at University of Copenhagen, ML lead at DB SystelDirección de correo verificada de dfki.de
Andrea MoroSWE@MicrosoftDirección de correo verificada de microsoft.com
Julian Moreno SchneiderLanguage Technology (DFKI)Dirección de correo verificada de dfki.de
Dmitrii AksenovambeRoadDirección de correo verificada de amberoad.de
Roberto NavigliProfessor, Sapienza University of RomeDirección de correo verificada de uniroma1.it

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Leonhard Hennig

Senior Researcher, Deutsches Forschungszentrum für Künstliche Intelligenz

Dirección de correo verificada de dfki.de

Natural Language Processing Information Extraction Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Fine-tuning pre-trained transformer language models to distantly supervised relation extraction C Alt, M Hübner, L Hennig arXiv preprint arXiv:1906.08646, 2019	146	2019
TACRED revisited: A thorough evaluation of the TACRED relation extraction task C Alt, A Gabryszak, L Hennig arXiv preprint arXiv:2004.14855, 2020	138	2020
Topic-based Multi-Document Summarization with Probabilistic Latent Semantic Analysis. L Hennig RANLP, 144-149, 2009	131	2009
Improving relation extraction by pre-trained language representations C Alt, M Hübner, L Hennig arXiv preprint arXiv:1906.03088, 2019	112	2019
An ontology-based approach to text summarization L Hennig, W Umbrath, R Wetzker 2008 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2008	76	2008
Layerwise relevance visualization in convolutional text graph classifiers R Schwarzenberg, M Hübner, D Harbecke, C Alt, L Hennig arXiv preprint arXiv:1909.10911, 2019	70	2019
Multi-objective optimization for the joint disambiguation of nouns and named entities D Weissenborn, L Hennig, F Xu, H Uszkoreit Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	48	2015
A hybrid PLSA approach for warmer cold start in folksonomy recommendation A Said, W Robert, W Umbrath, L Hennig Recommender Systems & the Social Web, 10-13, 2009	42	2009
Probing linguistic features of sentence-level representations in neural relation extraction C Alt, A Gabryszak, L Hennig arXiv preprint arXiv:2004.08134, 2020	34	2020
Abstractive text summarization based on language model conditioning and locality modeling D Aksenov, J Moreno-Schneider, P Bourgonje, R Schwarzenberg, ... arXiv preprint arXiv:2003.13027, 2020	29	2020
Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs S Krause, L Hennig, A Moro, D Weissenborn, F Xu, H Uszkoreit, R Navigli Journal of Web Semantics 37, 112-131, 2016	29	2016
Twitter geolocation prediction using neural networks P Thomas, L Hennig Language Technologies for the Challenges of the Digital Age: 27th …, 2018	24	2018
A german corpus for fine-grained named entity recognition and relation extraction of traffic and industry events M Schiersch, V Mironova, M Schmitt, P Thomas, A Gabryszak, L Hennig arXiv preprint arXiv:2004.03283, 2020	22	2020
Automatic layouting of personalized newspaper pages T Strecker, L Hennig Operations Research Proceedings 2008: Selected Papers of the Annual …, 2009	20	2009
Why only micro-f1? class weighting of measures for relation classification D Harbecke, Y Chen, L Hennig, C Alt arXiv preprint arXiv:2205.09460, 2022	16	2022
MOLI: Smart conversation agent for mobile customer service G Zhao, J Zhao, Y Li, C Alt, R Schwarzenberg, L Hennig, S Schaffer, ... Information 10 (2), 63, 2019	16	2019
Bootstrapping named entity recognition in e-commerce with positive unlabeled learning H Zhang, L Hennig, C Alt, C Hu, Y Meng, C Wang arXiv preprint arXiv:2005.11075, 2020	15	2020
DAI Approaches to the TAC-KBP 2011 Entity Linking Task. D Ploch, L Hennig, EW De Luca, S Albayrak, TU DAI-Labor TAC, 2011	14	2011
Multilingual relation classification via efficient and effective prompting Y Chen, D Harbecke, L Hennig arXiv preprint arXiv:2210.13838, 2022	13	2022
Learning comment controversy prediction in web discussions using incidentally supervised multi-task CNNs N Rethmeier, M Hübner, L Hennig Proceedings of the 9th Workshop on Computational Approaches to Subjectivity …, 2018	13	2018

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