Leonhard Hennig
Zitiert von
Zitiert von
Fine-tuning pre-trained transformer language models to distantly supervised relation extraction
C Alt, M Hübner, L Hennig
arXiv preprint arXiv:1906.08646, 2019
TACRED revisited: A thorough evaluation of the TACRED relation extraction task
C Alt, A Gabryszak, L Hennig
arXiv preprint arXiv:2004.14855, 2020
Topic-based Multi-Document Summarization with Probabilistic Latent Semantic Analysis.
L Hennig
RANLP, 144-149, 2009
Improving relation extraction by pre-trained language representations
C Alt, M Hübner, L Hennig
arXiv preprint arXiv:1906.03088, 2019
Layerwise relevance visualization in convolutional text graph classifiers
R Schwarzenberg, M Hübner, D Harbecke, C Alt, L Hennig
arXiv preprint arXiv:1909.10911, 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
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
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
Probing linguistic features of sentence-level representations in neural relation extraction
C Alt, A Gabryszak, L Hennig
arXiv preprint arXiv:2004.08134, 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
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
Twitter geolocation prediction using neural networks
P Thomas, L Hennig
Language Technologies for the Challenges of the Digital Age: 27th …, 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
Automatic layouting of personalized newspaper pages
T Strecker, L Hennig
Operations Research Proceedings 2008: Selected Papers of the Annual …, 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
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
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
Multilingual relation classification via efficient and effective prompting
Y Chen, D Harbecke, L Hennig
arXiv preprint arXiv:2210.13838, 2022
DAI Approaches to the TAC-KBP 2011 Entity Linking Task.
D Ploch, L Hennig, EW De Luca, S Albayrak, TU DAI-Labor
TAC, 2011
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
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