| Neural networks for negation scope detection F Fancellu, A Lopez, B Webber Proceedings of the 54th annual meeting of the Association for Computational …, 2016 | 76 | 2016 |
| Edina: Building an open domain socialbot with self-dialogues B Krause, M Damonte, M Dobre, D Duma, J Fainberg, F Fancellu, ... arXiv preprint arXiv:1709.09816, 2017 | 36 | 2017 |
| Detecting negation scope is easy, except when it isn’t F Fancellu, A Lopez, B Webber, H He Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 22 | 2017 |
| Applying the semantics of negation to SMT through n-best list re-ranking F Fancellu, B Webber Proceedings of the 14th Conference of the European Chapter of the …, 2014 | 20 | 2014 |
| Translating negation: A manual error analysis F Fancellu, B Webber Proceedings of the Second Workshop on Extra-Propositional Aspects of Meaning …, 2015 | 14 | 2015 |
| NegPar: A parallel corpus annotated for negation Q Liu, F Fancellu, B Webber Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 12 | 2018 |
| Standard language variety conversion for content localisation via SMT F Fancellu, A Way, M O’Brien Proceedings of the 17th Annual conference of the European Association for …, 2014 | 11 | 2014 |
| Semantic graph parsing with recurrent neural network DAG grammars F Fancellu, S Gilroy, A Lopez, M Lapata arXiv preprint arXiv:1910.00051, 2019 | 10 | 2019 |
| Neural networks for cross-lingual negation scope detection F Fancellu, A Lopez, B Webber arXiv preprint arXiv:1810.02156, 2018 | 9 | 2018 |
| Universal dependencies to logical forms with negation scope F Fancellu, S Reddy, A Lopez, B Webber arXiv preprint arXiv:1702.03305, 2017 | 9 | 2017 |
| Evaluating machine translation performance on chinese idioms with a blacklist method Y Shao, R Sennrich, B Webber, F Fancellu arXiv preprint arXiv:1711.07646, 2017 | 8 | 2017 |
| Talking to myself: self-dialogues as data for conversational agents J Fainberg, B Krause, M Dobre, M Damonte, E Kahembwe, D Duma, ... arXiv preprint arXiv:1809.06641, 2018 | 7 | 2018 |
| Translating negation: Induction, search and model errors F Fancellu, B Webber Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in …, 2015 | 4 | 2015 |
| How coherent are neural models of coherence? L Pishdad, F Fancellu, R Zhang, A Fazly Proceedings of the 28th International Conference on Computational …, 2020 | 1 | 2020 |
| Accurate polyglot semantic parsing with DAG grammars F Fancellu, Á Kádár, R Zhang, A Fazly Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 1 | 2020 |
| Neural Networks for Negation Cue Detection in Chinese H He, F Fancellu, B Webber Proceedings of the Workshop Computational Semantics Beyond Events and Roles …, 2017 | 1 | 2017 |
| D2. 1: Initial report on employing semantic role labelling and fidelity checking in machine translation O Bojar, F Fancellu, J Helcl, P Williams | 1 | 2016 |
| Dependency parsing with structure preserving embeddings Á Kádár, L Xiao, M Kemertas, F Fancellu, A Jepson, A Fazly Proceedings of the 16th Conference of the European Chapter of the …, 2021 | | 2021 |
| A survey of cross-lingual features for zero-shot cross-lingual semantic parsing J Yang, F Fancellu, B Webber arXiv preprint arXiv:1908.10461, 2019 | | 2019 |
| Computational models for multilingual negation scope detection F Fancellu The University of Edinburgh, 2018 | | 2018 |
