| Overview of touché 2021: argument retrieval A Bondarenko, L Gienapp, M Fröbe, M Beloucif, Y Ajjour, A Panchenko, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th …, 2021 | 72 | 2021 |
| Overview of Touché 2020: argument retrieval A Bondarenko, M Fröbe, M Beloucif, L Gienapp, Y Ajjour, A Panchenko, ... Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th …, 2020 | 71 | 2020 |
| XMEANT: Better semantic MT evaluation without reference translations C Lo, M Beloucif, M Saers, D Wu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 32 | 2014 |
| SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval) SH Muhammad, I Abdulmumin, SM Yimam, DI Adelani, IS Ahmad, ... arXiv preprint arXiv:2304.06845, 2023 | 22 | 2023 |
| Afrisenti: A twitter sentiment analysis benchmark for african languages SH Muhammad, I Abdulmumin, AA Ayele, N Ousidhoum, DI Adelani, ... arXiv preprint arXiv:2302.08956, 2023 | 21 | 2023 |
| Improving machine translation into Chinese by tuning against Chinese MEANT C Lo, M Beloucif, D Wu Proceedings of the 10th International Workshop on Spoken Language …, 2013 | 19 | 2013 |
| Learning to freestyle: Hip hop challenge-response induction via transduction rule segmentation D Wu, K Addanki, M Saers, M Beloucif Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 18 | 2013 |
| Touché: First shared task on argument retrieval A Bondarenko, M Hagen, M Potthast, H Wachsmuth, M Beloucif, ... Advances in Information Retrieval: 42nd European Conference on IR Research …, 2020 | 15 | 2020 |
| Which is better for deep learning: python or MATLAB? Answering comparative questions in natural language V Chekalina, A Bondarenko, C Biemann, M Beloucif, V Logacheva, ... Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 12 | 2021 |
| Improving MEANT Based Semantically Tuned SMT M Beloucif, C Lo, D WU 11th International Workshop on Spoken Language Translation (IWSLT 2014), 34 …, 2014 | 12 | 2014 |
| Probing pre-trained language models for semantic attributes and their values M Beloucif, C Biemann Findings of the Association for Computational Linguistics: EMNLP 2021, 2554-2559, 2021 | 7 | 2021 |
| Improving word alignment for low resource languages using English monolingual SRL M Beloucif, M Saers, D Wu Proceedings of the Sixth Workshop on Hybrid Approaches to Translation …, 2016 | 5 | 2016 |
| WikiBank: Using Wikidata to improve multilingual frame-semantic parsing C Sas, M Beloucif, A Søgaard Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 4 | 2020 |
| Elvis vs. M. Jackson: Who has More Albums? Classification and Identification of Elements in Comparative Questions M Beloucif, SM Yimam, S Stahlhacke, C Biemann 13th International Conference on Language Resources and Evaluation (LREC …, 2022 | 2 | 2022 |
| Answering comparative questions with arguments A Bondarenko, A Panchenko, M Beloucif, C Biemann, M Hagen Datenbank-Spektrum 20, 155-160, 2020 | 2 | 2020 |
| Naive regularizers for low-resource neural machine translation M Beloucif, AV Gonzalez, M Bollmann, A Søgaard Recent Advances in Natural Language Processing 1 (http://lml.bas.bg …, 2019 | 2 | 2019 |
| Improving Semantic SMT via Soft Semantic Role Label Constraints on ITG Alignments M Beloucif, M Saers, D Wu MT SUMMIT XV 10 (http://amtaweb.org/wp-content/uploads/20), 340-352, 2015 | 2 | 2015 |
| Afrisenti: A twitter sentiment analysis benchmark for african languages. 2 2023 SH Muhammad, I Abdulmumin, AA Ayele, N Ousidhoum, DI Adelani, ... URL https://arxiv. org/abs/2302.08956, 0 | 2 | |
| How can BERT understand high-level semantics? M Beloucif, C Biemann Is Neuro-Symbolic SOTA still a myth for Natural Language Inference? The …, 2021 | 1 | 2021 |
| SRL for low resource languages isn’t needed for semantic SMT M Beloucif, D Wu European Association for Machine Translation, 2018 | 1 | 2018 |
Chris BiemannProfessor for Language Technology, University of HamburgVerified email at informatik.uni-hamburg.de
