The Oxford handbook of computational linguistics R Mitkov Oxford university press, 2022 | 968 | 2022 |
Anaphora resolution R Mitkov Routledge, 2014 | 858 | 2014 |
Robust pronoun resolution with limited knowledge R Mitkov COLING 1998 Volume 2: The 17th International Conference on Computational …, 1998 | 517 | 1998 |
Computer-aided generation of multiple-choice tests R Mitkov Proceedings of the HLT-NAACL 03 workshop on Building educational …, 2003 | 348 | 2003 |
Anaphora resolution: the state of the art R Mitkov School of Languages and European Studies, University of Wolverhampton, 1999 | 313 | 1999 |
A computer-aided environment for generating multiple-choice test items R Mitkov, H Le An, N Karamanis Natural language engineering 12 (2), 177-194, 2006 | 304 | 2006 |
A new, fully automatic version of Mitkov’s knowledge-poor pronoun resolution method R Mitkov, R Evans, C Orasan Computational Linguistics and Intelligent Text Processing: Third …, 2002 | 180 | 2002 |
Factors in anaphora resolution: they are not the only things that matter. A case study based on two different approaches R Mitkov Operational Factors in Practical, Robust Anaphora Resolution for …, 1997 | 126 | 1997 |
A review corpus annotated for negation, speculation and their scope. N Konstantinova, SCM De Sousa, NPC Díaz, MJM López, M Taboada, ... Lrec, 3190-3195, 2012 | 120 | 2012 |
Detecting high-functioning autism in adults using eye tracking and machine learning V Yaneva, S Eraslan, Y Yesilada, R Mitkov IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (6 …, 2020 | 117 | 2020 |
What can readability measures really tell us about text complexity S Štajner, R Evans, C Orasan, R Mitkov Proceedings of workshop on natural language processing for improving textual …, 2012 | 116 | 2012 |
Identification of translationese: A machine learning approach I Ilisei, D Inkpen, G Corpas Pastor, R Mitkov Computational Linguistics and Intelligent Text Processing: 11th …, 2010 | 116 | 2010 |
TransQuest: Translation quality estimation with cross-lingual transformers T Ranasinghe, C Orasan, R Mitkov arXiv preprint arXiv:2011.01536, 2020 | 114 | 2020 |
A machine‐learning approach to negation and speculation detection for sentiment analysis NP Cruz, M Taboada, R Mitkov Journal of the Association for Information Science and Technology 67 (9 …, 2016 | 106 | 2016 |
Translation universals: do they exist? A corpus-based NLP study of convergence and simplification GC Pastor, R Mitkov, N Afzal, V Pekar Proceedings of the 8th Conference of the Association for Machine Translation …, 2008 | 104 | 2008 |
Semantic textual similarity with siamese neural networks T Ranasinghe, C Orǎsan, R Mitkov Proceedings of the international conference on recent advances in natural …, 2019 | 92 | 2019 |
Outstanding issues in anaphora resolution R Mitkov Computational Linguistics and Intelligent Text Processing: Second …, 2001 | 91 | 2001 |
Automatic generation of multiple choice questions using dependency-based semantic relations N Afzal, R Mitkov Soft Computing 18, 1269-1281, 2014 | 88 | 2014 |
Semantic similarity of distractors in multiple-choice tests: extrinsic evaluation R Mitkov, A Varga, L Rello Proceedings of the workshop on geometrical models of natural language …, 2009 | 87 | 2009 |
Coreference and anaphora: developing annotating tools, annotated resources and annotation strategies R Mitkov, R Evans, C Orasan, C Barbu, L Jones, V Sotirova Proceedings of the Discourse, Anaphora and Reference Resolution Conference …, 2000 | 81 | 2000 |