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Leonhard Hennig
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2020 – today
- 2024
- [c35]Martin Courtois
, Malte Ostendorff, Leonhard Hennig, Georg Rehm:
Symmetric Dot-Product Attention for Efficient Training of BERT Language Models. ACL (Findings) 2024: 8002-8011 - [c34]Aleksandra Gabryszak, Daniel Röder, Arne Binder, Luca Sion, Leonhard Hennig:
Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models. INLG 2024: 402-411 - [i24]Qianli Wang, Tatiana Anikina, Nils Feldhus, Josef van Genabith, Leonhard Hennig, Sebastian Möller:
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools. CoRR abs/2401.12576 (2024) - [i23]Arne Binder, Leonhard Hennig, Christoph Alt:
PyTorch-IE: Fast and Reproducible Prototyping for Information Extraction. CoRR abs/2406.00007 (2024) - [i22]Martin Courtois, Malte Ostendorff, Leonhard Hennig, Georg Rehm:
Symmetric Dot-Product Attention for Efficient Training of BERT Language Models. CoRR abs/2406.06366 (2024) - 2023
- [c33]Leonhard Hennig, Philippe Thomas, Sebastian Möller:
MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset. ACL (1) 2023: 3785-3801 - [c32]Mohammed Bin Sumait, Aleksandra Gabryszak, Leonhard Hennig, Roland Roller:
Factuality Detection using Machine Translation - a Use Case for German Clinical Text. KONVENS 2023: 85-92 - [i21]Leonhard Hennig, Philippe Thomas, Sebastian Möller:
MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset. CoRR abs/2305.04582 (2023) - [i20]Mohammed Bin Sumait, Aleksandra Gabryszak, Leonhard Hennig, Roland Roller:
Factuality Detection using Machine Translation - a Use Case for German Clinical Text. CoRR abs/2308.08827 (2023) - 2022
- [c31]Yuxuan Chen
Multilingual Relation Classification via Efficient and Effective Prompting. EMNLP 2022: 1059-1075 - [c30]Yuxuan Chen
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition. RepL4NLP@ACL 2022: 46-59 - [i19]Yuxuan Chen, Jonas Mikkelsen, Arne Binder, Christoph Alt, Leonhard Hennig:
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition. CoRR abs/2204.04980 (2022) - [i18]David Harbecke, Yuxuan Chen, Leonhard Hennig, Christoph Alt:
Why only Micro-F1? Class Weighting of Measures for Relation Classification. CoRR abs/2205.09460 (2022) - [i17]Nils Feldhus, Leonhard Hennig, Maximilian Dustin Nasert, Christopher Ebert, Robert Schwarzenberg, Sebastian Möller
Constructing Natural Language Explanations via Saliency Map Verbalization. CoRR abs/2210.07222 (2022) - [i16]Abdel Aziz Taha, Leonhard Hennig, Petr Knoth:
Confidence estimation of classification based on the distribution of the neural network output layer. CoRR abs/2210.07745 (2022) - [i15]Arne Binder, Bhuvanesh Verma, Leonhard Hennig:
Full-Text Argumentation Mining on Scientific Publications. CoRR abs/2210.13084 (2022) - [i14]Yuxuan Chen, David Harbecke, Leonhard Hennig:
Multilingual Relation Classification via Efficient and Effective Prompting. CoRR abs/2210.13838 (2022) - 2021
- [i13]Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig:
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. CoRR abs/2103.17090 (2021) - [i12]Leonhard Hennig, Phuc Tran Truong, Aleksandra Gabryszak:
MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility Domain. CoRR abs/2108.06955 (2021) - 2020
- [c29]Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig:
Probing Linguistic Features of Sentence-Level Representations in Relation Extraction. ACL 2020: 1534-1545 - [c28]Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig:
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task. ACL 2020: 1558-1569 - [c27]Dmitrii Aksenov, Julián Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm:
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling. LREC 2020: 6680-6689 - [c26]Marc Hübner, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig:
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction. SemEval@COLING 2020: 704-709 - [i11]Dmitrii Aksenov, Julián Moreno Schneider, Peter Bourgonje, Robert Schwarzenberg, Leonhard Hennig, Georg Rehm:
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling. CoRR abs/2003.13027 (2020) - [i10]Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig:
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events. CoRR abs/2004.03283 (2020) - [i9]Saskia Schön, Veselina Mironova, Aleksandra Gabryszak, Leonhard Hennig:
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products. CoRR abs/2004.03287 (2020) - [i8]Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig:
SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities. CoRR abs/2004.03822 (2020) - [i7]Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig:
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction. CoRR abs/2004.08134 (2020) - [i6]Christoph Alt, Aleksandra Gabryszak, Leonhard Hennig:
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task. CoRR abs/2004.14855 (2020) - [i5]Hanchu Zhang, Leonhard Hennig, Christoph Alt, Changjian Hu, Yao Meng, Chao Wang:
Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning. CoRR abs/2005.11075 (2020)
2010 – 2019
- 2019
- [j4]Guoguang Zhao, Jianyu Zhao, Yang Li, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig, Stefan Schaffer, Sven Schmeier, Changjian Hu, Feiyu Xu:
MOLI: Smart Conversation Agent for Mobile Customer Service. Inf. 10(2): 63 (2019) - [c25]Christoph Alt, Marc Hübner, Leonhard Hennig:
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction. ACL (1) 2019: 1388-1398 - [c24]Christoph Alt, Marc Hübner, Leonhard Hennig:
Improving Relation Extraction by Pre-trained Language Representations. AKBC 2019 - [c23]Neslihan Iskender, Aleksandra Gabryszak, Tim Polzehl, Leonhard Hennig, Sebastian Möller:
A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries. QoMEX 2019: 1-3 - [c22]Robert Schwarzenberg
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. TextGraphs@EMNLP 2019: 58-62 - [i4]Christoph Alt, Marc Hübner, Leonhard Hennig:
Improving Relation Extraction by Pre-trained Language Representations. CoRR abs/1906.03088 (2019) - [i3]Christoph Alt, Marc Hübner, Leonhard Hennig:
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction. CoRR abs/1906.08646 (2019) - [i2]Robert Schwarzenberg, Marc Hübner, David Harbecke, Christoph Alt, Leonhard Hennig:
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers. CoRR abs/1909.10911 (2019) - 2018
- [j3]Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig
SIA: a scalable interoperable annotation server for biomedical named entities. J. Cheminformatics 10(1): 63:1-63:7 (2018) - [c21]Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig:
A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events. LREC 2018 - [c20]Saskia Schön, Veselina Mironova, Aleksandra Gabryszak, Leonhard Hennig:
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products. LREC 2018 - [c19]Yang Li, Qingliang Miao, Ji Geng, Christoph Alt, Robert Schwarzenberg, Leonhard Hennig, Changjian Hu, Feiyu Xu:
Question Answering for Technical Customer Support. NLPCC (1) 2018: 3-15 - [c18]Nils Rethmeier, Marc Hübner, Leonhard Hennig:
Learning Comment Controversy Prediction in Web Discussions Using Incidentally Supervised Multi-Task CNNs. WASSA@EMNLP 2018: 316-321 - 2017
- [c17]Hans Uszkoreit, Aleksandra Gabryszak, Leonhard Hennig, Jörg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier, Philippe Thomas, He Wang, Feiyu Xu:
Common Round: Application of Language Technologies to Large-Scale Web Debates. EACL (Software Demonstrations) 2017: 5-8 - [c16]Robert Schwarzenberg
In-Memory Distributed Training of Linear-Chain Conditional Random Fields with an Application to Fine-Grained Named Entity Recognition. GSCL 2017: 155-167 - [c15]Philippe Thomas, Leonhard Hennig:
Twitter Geolocation Prediction Using Neural Networks. GSCL 2017: 248-255 - [c14]Philippe Thomas, Johannes Kirschnick, Leonhard Hennig, Renlong Ai, Sven Schmeier, Holmer Hemsen, Feiyu Xu, Hans Uszkoreit:
Streaming Text Analytics for Real-Time Event Recognition. RANLP 2017: 750-757 - 2016
- [j2]Sebastian Krause, Leonhard Hennig, Andrea Moro, Dirk Weissenborn, Feiyu Xu, Hans Uszkoreit, Roberto Navigli
Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs. J. Web Semant. 37-38: 112-131 (2016) - [c13]Leonhard Hennig, Philippe Thomas, Renlong Ai, Johannes Kirschnick, He Wang, Jakob Pannier, Nora Zimmermann, Sven Schmeier, Feiyu Xu, Jan Ostwald, Hans Uszkoreit:
Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams. ACL (System Demonstrations) 2016: 37-42 - [c12]Kathrin Eichler, Feiyu Xu, Hans Uszkoreit, Leonhard Hennig, Sebastian Krause:
TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns. LREC 2016 - [c11]Aleksandra Gabryszak, Sebastian Krause, Leonhard Hennig, Feiyu Xu, Hans Uszkoreit:
Relation- and Phrase-level Linking of FrameNet with Sar-graphs. LREC 2016 - 2015
- [c10]Leonhard Hennig, Hong Li, Sebastian Krause, Feiyu Xu, Hans Uszkoreit:
A Web-based Collaborative Evaluation Tool for Automatically Learned Relation Extraction Patterns. ACL (System Demonstrations) 2015: 43-48 - [c9]Dirk Weissenborn, Leonhard Hennig, Feiyu Xu, Hans Uszkoreit:
Multi-Objective Optimization for the Joint Disambiguation of Nouns and Named Entities. ACL (1) 2015: 596-605 - [c8]Sebastian Krause, Leonhard Hennig, Aleksandra Gabryszak, Feiyu Xu, Hans Uszkoreit:
Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language. LDL@IJCNLP 2015: 30-38 - 2012
- [j1]Seyit Ahmet Çamtepe
A Framework for Automated Identification of Attack Scenarios on IT Infrastructures. Prax. Inf.verarb. Kommun. 35(1): 25-31 (2012) - [c7]Danuta Ploch, Leonhard Hennig, Angelina Duka, Ernesto William De Luca, Sahin Albayrak:
GerNED: A German Corpus for Named Entity Disambiguation. LREC 2012: 3886-3893 - 2011
- [b1]Leonhard Hennig:
Content Modeling for Automatic Document Summarization. Berlin Institute of Technology, 2011 - [i1]Danuta Ploch, Leonhard Hennig, Ernesto William De Luca, Sahin Albayrak:
DAI Approaches to the TAC-KBP 2011 Entity Linking Task. TAC 2011 - 2010
- [c6]Leonhard Hennig, Ernesto William De Luca, Sahin Albayrak:
Learning Summary Content Units with Topic Modeling. COLING (Posters) 2010: 391-399 - [c5]Leonhard Hennig, Thomas Strecker, Sascha Narr, Ernesto William De Luca
Identifying Sentence-Level Semantic Content Units with Topic Models. DEXA Workshops 2010: 59-63
2000 – 2009
- 2009
- [c4]Leonhard Hennig:
Topic-based Multi-Document Summarization with Probabilistic Latent Semantic Analysis. RANLP 2009: 144-149 - 2008
- [c3]Leonhard Hennig, Winfried Umbrath, Robert Wetzker:
An Ontology-Based Approach to Text Summarization. Web Intelligence/IAT Workshops 2008: 291-294 - [c2]Robert Wetzker, Winfried Umbrath, Leonhard Hennig, Christian Bauckhage
Tailoring Taxonomies for Efficient Text Categorization and Expert Finding. Web Intelligence/IAT Workshops 2008: 459-462 - [c1]Leonhard Hennig, Thomas Strecker:
Tailoring text for automatic layouting of newspaper pages. ICPR 2008: 1-4
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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