Journal articles

  • Shardlow, M., Evans, R., and Zampieri, M. (2022, published online) Predicting lexical complexity in English texts: the Complex 2.0 dataset. Language Resources and Evaluation. Vol. TBC, Nr. TBC, pp. TBC-TBC. Springer Nature. DOI:https://doi.org/10.1007/s10579-022-09588-2. (pdf)
  • Parodi, G., Evans, R., Ha, L. A., Mitkov, R., Vergara C. J. J., and Olivares-López, R. (2021) A sequence labelling approach for automatic analysis of ello: tagging pronouns, antecedents, and connective phrases. Language Resources and Evaluation. Vol. 56, Nr. 1, pp. 139-164. Springer Nature. DOI:https://doi.org/10.1007/s10579-021-09559-z. (issue)
  • Evans, R. and Orasan, C. (2019) Identifying signs of syntactic complexity for rule-based sentence simplification. Natural Language Engineering. Vol. 25, Nr. 1, pp. 69-119. Cambridge University Press. DOI: 10.1017/S1351324918000384. (pdf)
  • Gonzalez-Navarro, A., Freire-Prudencio, S., Gil, D., Martos-Perez, J., Jordanova, V., Cerga-Pashoja, A., Shishkova, A., and Evans, R. (2014) FIRST: a tool for facilitating reading comprehension in high-functioning autism spectrum disorder. Article in Spanish. In Revista de Neurologia, Vol. 58 (Supl 1), pp. 129-135. (issue)
  • Evans, R. (2011) Comparing methods for the syntactic simplification of sentences in information extraction. Literary and Linguistic Computing. Vol. 26, Nr. 4, pp. 371-388. DOI: 10.1093/llc/fqr034. (abs issue manuscript)
  • Orasan, C. and Evans, R (2007) NP animacy identification for anaphora resolution. Journal of Artificial Intelligence Research. Vol. 29 pp. 79 – 103. DOI: 10.1613/jair.2179. (abs bib pdf)
  • Orasan, C., Ha, L.A., Evans, R., Hasler, L. and Mitkov, R. (2007) Corpora for computational linguistics. Ilha Do Desterro: A Journal of English Language, Literatures in English and Cultural Studies. Special Issue in Corpus Linguistics, 52 (1), 65-102. (abs pdf)
  • Pekar, V. and Evans, R. (2007) Discovery of Language Resources on the Web: Information Extraction from Heterogeneous Documents. In Journal of Literary and Linguistic Computing, ISSN: 0268-1145, Oxford University Press. DOI: 10.1093/llc/fqm010. (abs issue)
  • Evans, R. (2001) Applying Machine Learning Toward an Automatic Classification of It. In the Journal of Literary and Linguistic Computing, 16;1. pp. 45-57, Oxford University Press. Presented at ALLC/ACH 2000. (abs bib pdf issue)

Book chapters

  • Orasan, C., Evans, R. and Mitkov, R. (2018) Intelligent Text Processing to Help Readers with Autism. In Shaalan, K. et al. (eds.) Intelligent Natural Language Processing: Trends and Applications, Springer, ISBN: , pp. 713-740. DOI: 10.1007/978-3-319-67056-0_33 ( )
  • Evans, R. and Orasan, C. (2013) Annotating signs of syntactic complexity to support sentence simplification. In Habernal, I. and Matousek, V. (eds.) Text, Speech and Dialogue. Proceedings of the 16th International Conference TSD 2013, Plzen, Czech Republic, Springer, ISBN: 978-3-642-40584-6, pp. 92-104. (poster)
  • Štajner, S. and Evans, R. (2013) Can Statistical Tests Be Used for Feature Selection in Diachronic Text Classification? In Dediu, A.-H., Martin-Vide, C., Mitkov, R., and Truthe, B. (eds.) Statistical Language and Speech Processing. First International Conference, SLSP, 2013. Lecture Notes in Artificial Intelligence, Vol. 7978, Springer, ISBN: 978-3-642-39592-5, pp. 273-283.
  • Orasan, C., Evans, R., and Dornescu, I. (2013) Text Simplification for People with Autistic Spectrum Disorders. In Tufis, D., Rus, V. and Forascu, C. (eds.), Towards Multilingual Europe 2020: A Romanian Perspective, Romanian Academy Publishing House, Bucharest, 2013, ISBN: 978-973-27-2282-4, pp. 287-312.
  • Mitkov, R., Evans, R., Orasan, C., Dornescu, I., and Rios, M. (2012) Coreference Resolution: To What Extent Does It Help NLP Applications? In Text, Speech and Dialogue. Lecture Notes in Computer Science Volume 7499, 2012, pp 16-27.
  • Mitkov, R., Evans, R., Orasan, C., Ha, L. A. and Pekar, V. (2007) Anaphora Resolution: To What Extent Does It Help NLP Applications? In A. Branco (ed.) Anaphora: Analysis, Algorithms and Applications, Lecture Notes in Artificial Intelligence (LNAI 4410), Springer-Verlag, pp. 179 – 190 (abs pdf)
  • Evans, R. (2004) A framework for named entity recognition in the open domain. In Bontcheva et al. (eds.) Recent Advances in Natural Language Processing III, pp. 267-276, John Benjamins.

Conference papers

  • Shardlow, M., Evans, R., Paetzold, G. H., and Zampieri, M. (2021) SemEval-2021 Task 1: Lexical Complexity Prediction. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), Online, August 2021, pp. 1-16 (bib abs pdf)
  • Evans, R. and Orasan, C. (2019) Sentence Simplification for Semantic Role Labelling and Information Extraction. In Proceedings of the International Conference "Recent Advances in Natural Language Processing '2019" (RANLP-2019), Varna, Bulgaria, September 2-4, pp. 285-294. (abs bib pdf)
  • Yaneva, V., Ha, L. A., Evans, R., and Mitkov, R. (2018) Classifying Referential and Non-referential It Using Gaze. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium, October 31 - November 4, pp. 4896 - 4901 (abs bib pdf)
  • Rohanian, O., Taslimipoor, S., Evans, R., and Mitkov, R. (2018) WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony. In Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), New Orleans, Louisiana, June 5-6, pp. 553 - 559 (abs bib pdf)
  • Yaneva, V., Orasan, C., Evans, R., and Rohanian, O. (2017) Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilties. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA-2017), EMNLP 2017, Copenhagen, Denmark, September 8, pp. 121 - 132 (abs bib pdf)
  • Yaneva, V., Evans, R., and Temnikova, I. (2016) Predicting Reading Difficulty for Readers with Autism Spectrum Disorder. In Proceedings of the Workshop on Improving Social Inclusion using NLP: Tools and Resources (ISI-NLP), LREC-2016, Portoroz, Slovenia, May 23, pp. 697 - 707 (abs bib pdf)
  • Yaneva, V. and Evans, R. (2015) Six Good Predictors of Autistic Reading Comprehension. In Proceedings of the International Conference "Recent Advances in Natural Language Processing'2015" (RANLP-2015), Hissar, Bulgaria, September 7-9, pp. 697 - 707 (abs bib pdf)
  • Dornescu, I., Evans, R., and Orasan, C. (2014) Relative clause extraction for syntactic simplification. In Proceedings of the Workshop on Automatic Text Simplification: Methods and Applications in the Multilingual Society, Dublin, Ireland, August 24, pp. 1-10 (pdf).
  • Stajner, S., Evans, R., and Dornescu, I. (2014) Assessing Conformance of Manually Simplified Corpora with User Requirements: the Case of Autistic Readers. In Proceedings of the Workshop on Automatic Text Simplification: Methods and Applications in the Multilingual Society, Dublin, Ireland, August 24, pp. 53-63 (pdf).
  • Evans, R., Orasan, C. and Dornescu, I. (2014) An evaluation of syntactic simplification rules for people with autism. In Proceedings of PITR 2014, Gothenburg, Sweden, April 17, pp. 131-140 (pdf).
  • Dornescu, I., Evans, R., and Orasan, C. (2013) A tagging approach to identify complex constituents for text simplification. In Proceedings of the 9th International Conference on "Recent Advances in Natural Language Processing" (RANLP-2013), Hissar, Bulgaria, September 7-13, pp. 221 - 229 (abs bib pdf)
  • Štajner, S., Evans, R., Orasan, C., and Mitkov, R. (2012) What can readability measures really tell us about text complexity? In Proceedings of the Workshop on Natural Language Processing for Improving Textual Accessibility (NLP4ITA), Istanbul, May 27, pp. 14 - 21 (abs bib pdf)
  • Pekar V. and Evans R. (2005). Optimizing the Subtasks in the Double Classification Approach to Information Extraction. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP-05). Borovets, Bulgaria. pp.373-380. (abs pdf)
  • Pekar, V., Evans, R. and Mitkov, R. (2004). Categorizing web pages as a preprocessing step for information extraction. Proceedings of LREC-04. Lisbon. pp.723-727. (abs pdf)
  • Evans, R. (2003) A framework for named entity recognition in the open domain. In Proceedings of Recent Advances in Natural Language Processing (RANLP-2003), Borovetz, Bulgaria, September, pp. 137-144 (abs bib pdf)
  • Evans, R. (2002): Refined salience weighting and error analysis in anaphora resolution In Proceedings of RRNLP-2002, Alicante, Spain. (abs bib pdf)
  • Orasan, C. and Evans, R. (2002) Assessing the difficulty of finding people in texts. In Proceedings of LREC-2002, pp. 1393-1400, Las Palmas de Gran Canaria, Spain. (pdf)
  • Barbu, C., Evans, R., and Mitkov, R. (2002) A corpus based analysis of morphological disagreement in anaphora resolution. In Proceedings of LREC-2002, pp. 1995-1999, Las Palmas de Gran Canaria, Spain. (pdf)
  • Mitkov, R., Evans, R., and Orasan, C. (2002) A new, fully automatic version of Mitkov's knowledge-poor pronoun resolution method. In Proceedings of CICLing-2002, pp. 168-186, Mexico City, Mexico. DOI:10.1007/3-540-45715-1_15 (pdf)
  • Orasan, C. and Evans, R. (2001) Learning to identify animate references. In Proceedings of the Workshop on Computational Natural Language Learning (CoNLL-2001). ACL-2001, pp. 129-136, Toulouse, France. (pdf)
  • Mitkov, R., Evans, R., Orasan, C., Barbu, C., Jones, L., and Sotirova, V. (2000) Coreference and anaphora: developing annotating tools, annotated resources and annotation strategies. In Proceedings of DAARC 2000, pp. 49-58, Lancaster, UK. (pdf)
  • Evans, R. and Orasan, C. (2000) Improving anaphora resolution by identifying animate entities in texts. In Proceedings of DAARC 2000, pp. 154-162, Lancaster, UK. (pdf)
  • Orasan, C. and Evans, R. (2000) Experiments in Optimising the Task of Anaphora Resolution. In Proceedings of ICEIS 2000, pp. 191-195, Stafford, UK. ISBN 972-98050-1-6. Also printed in Sharp, B., Filipe, J., and Cordeiro, J. (2001) Enterprise Information Systems II. pp. 69-73. Kluwer. ISBN 0-7923-7177-1.
  • Evans, R. (2000) A comparison of rule-based and machine learning methods for identifying non-nominal it. In Proceedings of NLP 2000, pp. 233-241, Patras, Greece. Springer-Verlag. ISBN 3-540-67605-8.
  • Orasan, C., Evans, R., and Mitkov, R. (2000) Enhancing preference-based anaphora resolution with genetic algorithms. In Proceedings of NLP 2000, pp. 185-195, Patras, Greece. Springer-Verlag. ISBN 3-540-67605-8.
  • Mitkov, R., Orasan, C., and Evans, R. (1999) The importance of annotated corpora for NLP: the cases of anaphora resolution and clause splitting. In Proceedings of TALN'99, pp. 60-69, Corsica, France.

Grey literature

Doctoral thesis

  • Evans, R. (2020) Sentence Simplification for Text Processing. Doctoral thesis. University of Wolverhampton. Wolverhampton, UK. (pdf).

Preprints

  • Shardlow, M., Evans, R., and Zampieri, M. (2021) Predicting Lexical Complexity in English Texts. arXiv:2102.08773 (cs.CL). (pdf)
  • Technical reports

    • Evans, R. and Cerga Pashoja, A. (2014) FIRST Project - Final evaluation report. University of Wolverhampton. Wolverhampton, UK. FIRST_D7.8_20141119. (pdf).
    • Jordanova, V., Evans, R., and Cerga Pashoja, A. (2013) FIRST Project - Benchmark report (result of piloting task). Central and Northwest London NHS Foundation Trust. London, UK. FIRST_D7.2_20130228. (pdf).
    • Evans, R., Dornescu, I., and Kabadjov, M. (2013) FIRST Project - Evaluation of Language Technology: Error Analysis. University of Wolverhampton, UK. FIRST_D7.5_20130930. (pdf).
    • Evans, R. and Dornescu, I. (2012) FIRST Project - Evaluation of LT: tools and resources. University of Wolverhampton, UK. FIRST_D7.3_20121031. (pdf).
    • Carminke, A., Evans, R., and Orasan, C. (2011) FIRST Project - Quality Assurance Plan. University of Wolverhampton, UK. FIRST_D1.1_20111231. (pdf).

    Miscellany

    • Evans, R. (2013) Annual Progress Review 2013: Syntactic simplification for reading comprehension and language processing. University of Wolverhampton. (poster)
    • Evans, R. (1999) Book Review: Manning & Schütze (1999) "Foundations of Statistical Natural Language Processing." For Linguist List. (text)
    • Front page

      General information about me.

    • Research projects

      Information about my previous and current research activities.

    • Resources

      Information about language technologies and resources that I have helped to develop.