| A survey on recent approaches for natural language processing in low-resource scenarios MA Hedderich, L Lange, H Adel, J Strötgen, D Klakow Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 278 | 2021 |
| An Analysis of Simple Data Augmentation for Named Entity Recognition X Dai, H Adel Proceedings of the 28th International Conference on Computational Linguistics, 2020 | 226 | 2020 |
| 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 | 226 | 2016 |
| 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 | 97 | 2013 |
| 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 | 96 | 2017 |
| 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 | 94 | 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 | 90 | 2013 |
| 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 | 79 | 2015 |
| 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 | 70 | 2016 |
| The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain A Friedrich, H Adel, F Tomazic, J Hingerl, R Benteau, A Maruscyk, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 69 | 2020 |
| Exploring different dimensions of attention for uncertainty detection H Adel, H Schütze Proceedings of the 15th Conference of the European Chapter of the …, 2016 | 68 | 2016 |
| 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 | 60 | 2016 |
| Features for factored language models for code-Switching speech. H Adel, K Kirchhoff, D Telaar, NT Vu, T Schlippe, T Schultz SLTU, 32-38, 2014 | 40 | 2014 |
| Corpus-level fine-grained entity typing Y Yaghoobzadeh, H Adel, H Schütze Journal of Artificial Intelligence Research 61, 835-862, 2018 | 37 | 2018 |
| Excut: Explainable embedding-based clustering over knowledge graphs MH Gad-Elrab, D Stepanova, TK Tran, H Adel, G Weikum International Semantic Web Conference, 218-237, 2020 | 35 | 2020 |
| 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 | 35 | 2019 |
| 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 | 32 | 2014 |
| Human Interpretation of Saliency-based Explanation Over Text H Schuff, A Jacovi, H Adel, Y Goldberg, NT Vu ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022 | 31 | 2022 |
| An investigation of code-switching attitude dependent language modeling NT Vu, H Adel, T Schultz Statistical Language and Speech Processing: First International Conference …, 2013 | 31 | 2013 |
| Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text L Lange, A Iurshina, H Adel, J Strötgen Proceedings of the 5th Workshop on Representation Learning for NLP, 103-109, 2020 | 29 | 2020 |
Hinrich SchützeUniversity of Munich在 cis.lmu.de 的电子邮件经过验证
