| Combining recurrent and convolutional neural networks for relation classification NT Vu, H Adel, P Gupta, H Schütze The 15th Annual Conference of the North American Chapter of the Association …, 2016 | 145 | 2016 |
| Combination of recurrent neural networks and factored language models for code-switching language modeling H Adel, NT Vu, T Schultz Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 79 | 2013 |
| Recurrent neural network language modeling for code switching conversational speech H Adel, NT Vu, F Kraus, T Schlippe, H Li, T Schultz 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 78 | 2013 |
| Bi-directional recurrent neural network with ranking loss for spoken language understanding NT Vu, P Gupta, H Adel, H Schütze 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 74 | 2016 |
| Syntactic and semantic features for code-switching factored language models H Adel, NT Vu, K Kirchhoff, D Telaar, T Schultz IEEE/ACM transactions on audio, speech, and language Processing 23 (3), 431-440, 2015 | 61 | 2015 |
| Global normalization of convolutional neural networks for joint entity and relation classification H Adel, H Schütze Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 58 | 2017 |
| Comparing convolutional neural networks to traditional models for slot filling H Adel, B Roth, H Schütze The 15th Annual Conference of the North American Chapter of the Association …, 2016 | 52 | 2016 |
| Noise mitigation for neural entity typing and relation extraction Y Yaghoobzadeh, H Adel, H Schütze Proceedings of the 15th Conference of the European Chapter of the …, 2016 | 42 | 2016 |
| Exploring different dimensions of attention for uncertainty detection H Adel, H Schütze Proceedings of the 15th Conference of the European Chapter of the …, 2016 | 35 | 2016 |
| Features for factored language models for code-switching speech H Adel, K Kirchhoff, D Telaar, NT Vu, T Schlippe, T Schultz Spoken Language Technologies for Under-Resourced Languages, 2014 | 35 | 2014 |
| Comparing approaches to convert recurrent neural networks into backoff language models for efficient decoding H Adel, K Kirchhoff, NT Vu, D Telaar, T Schultz Fifteenth Annual Conference of the International Speech Communication …, 2014 | 26 | 2014 |
| An investigation of code-switching attitude dependent language modeling NT Vu, H Adel, T Schultz International Conference on Statistical Language and Speech Processing, 297-308, 2013 | 23 | 2013 |
| Nonsymbolic text representation H Schütze, H Adel, E Asgari arXiv preprint arXiv:1610.00479, 2016 | 22 | 2016 |
| Using Mined Coreference Chains as a Resource for a Semantic Task H Adel, H Schütze Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 22 | 2014 |
| Corpus-level fine-grained entity typing Y Yaghoobzadeh, H Adel, H Schütze Journal of Artificial Intelligence Research 61, 835-862, 2018 | 18 | 2018 |
| Adversarial Training for Satire Detection: Controlling for Confounding Variables R McHardy, H Adel, R Klinger Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 15 | 2019 |
| Deep learning methods for the extraction of relations in natural language text P Gupta, T Runkler, H Adel, B Andrassy, HG Zimmermann, H Schütze Technical report, Technical University of Munich, Germany, 2015 | 11 | 2015 |
| Combining recurrent neural networks and factored language models during decoding of code-switching speech H Adel, D Telaar, NT Vu, K Kirchhoff, T Schultz Fifteenth Annual Conference of the International Speech Communication …, 2014 | 11 | 2014 |
| A survey on recent approaches for natural language processing in low-resource scenarios MA Hedderich, L Lange, H Adel, J Strötgen, D Klakow arXiv preprint arXiv:2010.12309, 2020 | 10 | 2020 |
| An Analysis of Simple Data Augmentation for Named Entity Recognition X Dai, H Adel Proceedings of the 28th International Conference on Computational Linguistics, 2020 | 10 | 2020 |
Hinrich SchützeUniversity of MunichVerified email at cis.lmu.de
