| Overview of Touché 2020: argument retrieval A Bondarenko, M Fröbe, M Beloucif, L Gienapp, Y Ajjour, A Panchenko, ... International Conference of the Cross-Language Evaluation Forum for European …, 2020 | 48 | 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 | 28 | 2014 |
| 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 | 15 | 2013 |
| 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 |
| Touché: first shared task on argument retrieval A Bondarenko, M Hagen, M Potthast, H Wachsmuth, M Beloucif, ... European Conference on Information Retrieval, 517-523, 2020 | 10 | 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 | 5 | 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 | 3 | 2016 |
| 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 |
| 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 | 1 | 2021 |
| Answering comparative questions with arguments A Bondarenko, A Panchenko, M Beloucif, C Biemann, M Hagen Datenbank-Spektrum 20 (2), 155-160, 2020 | 1 | 2020 |
| WikiBank: Using Wikidata to Improve Multilingual Frame-Semantic Parsing C Sas, M Beloucif, A Søgaard Proceedings of the 12th Language Resources and Evaluation Conference, 4183-4189, 2020 | 1 | 2020 |
| SRL for low resource languages isn’t needed for semantic SMT M Beloucif, D Wu European Association for Machine Translation, 2018 | 1 | 2018 |
| Driving inversion transduction grammar induction with semantic evaluation M Beloucif, D Wu Proceedings of the Fifth Joint Conference on Lexical and Computational …, 2016 | 1 | 2016 |
| Better Semantic Frame Based MT Evaluation via Inversion Transduction Grammars D Wu, CK Lo, M Beloucif, M Saers Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in …, 2014 | 1 | 2014 |
| How can BERT Understand High-level Semantics? M Beloucif, C Biemann Is Neuro-Symbolic SOTA still a myth for Natural Language Inference? The …, 2021 | | 2021 |
| 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 | | 2019 |
| Improving semantic SMT for low resource languages M Beloucif | | 2018 |
| Semantically driven inversion transduction grammar induction for early stage training of spoken language translation M Beloucif, D Wu 2016 IEEE Spoken Language Technology Workshop (SLT), 265-272, 2016 | | 2016 |
| Injecting a semantic objective function into early stage learning of spoken language translation M Beloucif, D Wu 2016 Conference of The Oriental Chapter of International Committee for …, 2016 | | 2016 |
Dekai WuProfessor of Computer Science and Engineering, Human Language Technology Center, Hong KongVerified email at cs.ust.hk
