| A new, fully automatic version of Mitkov's knowledge-poor pronoun resolution method R Mitkov, R Evans, C Orasan | 176 | 2002 |
| Applying machine learning toward an automatic classification of it R Evans Literary and linguistic computing 16 (1), 45-58, 2001 | 145 | 2001 |
| A framework for named entity recognition in the open domain R Evans Proceedings of Recent Advances in Natural Language Processing (RANLP-2003), 2004 | 125 | 2004 |
| 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 | 105 | 2012 |
| An evaluation of syntactic simplification rules for people with autism R Evans, C Orasan, I Dornescu Association for Computational Linguistics, 2014 | 85 | 2014 |
| 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 |
| Semeval-2021 task 1: Lexical complexity prediction M Shardlow, R Evans, GH Paetzold, M Zampieri arXiv preprint arXiv:2106.00473, 2021 | 70 | 2021 |
| Anaphora resolution: To what extent does it help NLP applications? R Mitkov, R Evans, C Orăsan, LA Ha, V Pekar Anaphora: Analysis, Algorithms and Applications: 6th Discourse Anaphora and …, 2007 | 56 | 2007 |
| Comparing methods for the syntactic simplification of sentences in information extraction R Evans Literary and Linguistic Computing 26 (4), 371-388, 2011 | 44 | 2011 |
| NP animacy identification for anaphora resolution C Orasan, RJ Evans Journal of Artificial Intelligence Research 29, 79-103, 2007 | 44 | 2007 |
| Enhancing preference-based anaphora resolution with genetic algorithms C OrĂsan, R Evans, R Mitkov Natural Language Processing—NLP 2000: Second International Conference …, 2000 | 44 | 2000 |
| WLV at SemEval-2018 task 3: Dissecting tweets in search of irony O Rohanian, S Taslimipoor, R Evans, R Mitkov Association for Computational Linguistics, 2018 | 41 | 2018 |
| Improving anaphora resolution by identifying animate entities in texts R Evans, C Orasan Proceedings of the Discourse Anaphora and Reference Resolution Conference …, 2000 | 38 | 2000 |
| Learning to identify animate references C Orǎsan, R Evans Proceedings of the ACL 2001 Workshop on Computational Natural Language …, 2001 | 37 | 2001 |
| A Comparison of Rule-Based and Machine Learning Methods for Identifying Non-nominal It R Evans International Conference on Natural Language Processing, 233-240, 2000 | 27 | 2000 |
| Predicting lexical complexity in english texts M Shardlow, R Evans, M Zampieri arXiv preprint arXiv:2102.08773, 2021 | 25 | 2021 |
| Identifying signs of syntactic complexity for rule-based sentence simplification R Evans, C Orasan Natural Language Engineering 25 (1), 69-119, 2019 | 23 | 2019 |
| Coreference resolution: To what extent does it help NLP applications? R Mitkov, R Evans, C Orăsan, I Dornescu, M Rios Text, Speech and Dialogue: 15th International Conference, TSD 2012, Brno …, 2012 | 22 | 2012 |
| The importance of annotated corpora for NLP: the cases of anaphora resolution and clause splitting R Mitkov, C Orasan, R Evans Proceedings of Corpora and NLP: Reflecting on Methodology Workshop, 1-10, 1999 | 21 | 1999 |
| Relative clause extraction for syntactic simplification I Dornescu, R Evans, C Orǎsan Proceedings of the Workshop on Automatic Text Simplification-Methods and …, 2014 | 20 | 2014 |
Constantin OrăsanUniversity of Surrey, UKVerified email at dinel.org.uk
