Recent publications
Article
Devine, RT, Kovatchev, V, Grumley Traynor, I, Smith, P & Lee, M 2023, 'Machine learning and deep learning systems for automated measurement of ‘advanced’ theory of mind: reliability and validity in children and adolescents', Psychological Assessment, vol. 35, no. 2, pp. 165-177. https://doi.org/10.1037/pas0001186
Alharbi, AI, Smith, P & Lee, M 2022, 'Integrating character-level and word-level representation for affect in Arabic tweets', Data and Knowledge Engineering, vol. 138, 101973. https://doi.org/10.1016/j.datak.2021.101973
Chapter (peer-reviewed)
Kovatchev, V, Smith, P, Lee, M, Grumley Traynor, I, Luque Aguilera, I & Devine, RT 2020, “What is on your mind?” Automated Scoring of Mindreading in Childhood and Early Adolescence. in D Scott, N Bel & C Zong (eds), Proceedings of the 28th International Conference on Computational Linguistics. Proceedings of the International Conference on Computational Linguistics, International Committee on Computational Linguistics, Barcelona, Spain, pp. 6217, International Conference on Computational Linguistics , Barcelona, Spain, 8/12/20. https://doi.org/10.18653/v1/2020.coling-main.547
Smith, P & Lee, M 2012, Cross-discourse Development of Supervised Sentiment Analysis in the Clinical Domain. in Proceedings of the 3rd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis: ACL 2012 Workshop. Association of Computational Linguistics, pp. 79-83. <http://aclweb.org/anthology//W/W12/W12-3712.pdf>
Conference contribution
Kovatchev, V, Smith, P, Lee, M & Devine, R 2021, Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability. in C Zong, F Xia, W Li & R Navigli (eds), Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). vol. 1, International Joint Conference on Natural Language Processing (IJCNLP), Association for Computational Linguistics, ACL, pp. 1196-1206, Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, Virtual, Online, 1/08/21. https://doi.org/10.18653/v1/2021.acl-long.96
Gokhan, T, Smith, P & Lee, M 2021, Extractive financial narrative summarisation using SentenceBERT-based clustering. in Proceedings of the 3rd Financial Narrative Processing Workshop FNP 2021., 18, Workshop on Financial Narrative Processing (FNP), Association for Computational Linguistics, ACL, pp. 94-98, 3rd Financial Narrative Processing Workshop, FNP 2021, Lancaster, United Kingdom, 15/09/21. <https://aclanthology.org/2021.fnp-1.18.pdf>
Alduayj, SS & Smith, P 2019, Sentiment Classification and Prediction of Job Interview Performance. in 2nd International Conference on Computer Applications and Information Security, ICCAIS 2019., 8769559, 2nd International Conference on Computer Applications and Information Security, ICCAIS 2019, Institute of Electrical and Electronics Engineers (IEEE), 2nd International Conference on Computer Applications and Information Security, ICCAIS 2019, Riyadh, Saudi Arabia, 1/05/19. https://doi.org/10.1109/CAIS.2019.8769559
Smith, P & Lee, M 2014, Acknowledging discourse function for sentiment analysis. in A Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing : 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part II. vol. 8404 LNCS, Lecture Notes in Computer Science , vol. 8404, Springer, pp. 45-52, Computational Linguistics and Intelligent Text Processing, 15th International Conference, CICLing 2014, Kathmandu, Nepal, Nepal, 6/04/14. https://doi.org/10.1007/978-3-642-54903-8-4
Smith, P & Lee, M 2013, A CCG-based approach to fine-grained sentiment analysis in microtext. in Analyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report. vol. SS-13-01, pp. 80-86, 2013 AAAI Spring Symposium, Palo Alto, CA, United States, 25/03/13.
Smith, P & Lee, M 2012, A CCG-Based Approach to Fine-Grained Sentiment Analysis. in Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets Psychology , SAAIP 2012.: COLING 2012 Workshop. Association of Computational Linguistics, pp. 3-16. <http://www.aclweb.org/anthology/W12-5302.pdf>
Preprint
Kovatchev, V, Smith, P, Lee, M & Devine, R 2021 'Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability' arXiv, pp. 1-11. <https://arxiv.org/abs/2106.01635v1>
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