Dr Chenghua Lin
Department of Computer Science
Senior Lecturer in Natural Language Processing
Deputy Director of Research
Member of the Natural Language Processing research group


Full contact details
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Dr Chenghua Lin is a Senior Lecturer in Natural Language Processing in the Department of Computer Science at the University of Sheffield. Prior to joining Sheffield, he was a SICSA Senior Lecturer in the Department of Computing Science, University of Aberdeen.
He received his PhD in Computer Science from the University of Exeter.
- Research interests
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Dr Chenghua Lin's research is centred around machine learning, natural language processing, data and text mining. Currently, he is particularly interested in the development of algorithms and models for sentiment analysis, text summarisation, natural language generation and cognitive inspired context learning.
- Publications
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Journal articles
- Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features. Information Processing & Management, 60(4), 103356-103356.
- PUF-Phenotype: A Robust and Noise-Resilient Approach to Aid Group-based Authentication with DRAM-PUFs Using Machine Learning. IEEE Transactions on Information Forensics and Security, 1-1.
- View this article in WRRO
- Token relation aware Chinese named entity recognition. ACM Transactions on Asian and Low-Resource Language Information Processing.
- Ada: Adversarial learning based data augmentation for malicious users detection. Applied Soft Computing, 117.
- Adaptive pre-training and collaborative fine-tuning: a win-win strategy to improve review analysis tasks. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 30, 622-634.
- Routine outcome monitoring in psychotherapy treatment using sentiment-topic modelling approach. International Journal on Advanced Science, Engineering and Information Technology, 11(6).
- Named entity aware transfer learning for biomedical factoid question answering. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
- A unified latent variable model for contrastive opinion mining. Frontiers of Computer Science, 14(2), 404-416. View this article in WRRO
- Extractive and abstractive sentence labelling of sentiment-bearing topics. Frontiers of Computer Science. View this article in WRRO
- Data-driven two-layer visual dictionary structure learning. Journal of Electronic Imaging, 28(02), 1-1.
- Sherlock: A semi-automatic framework for quiz generation using a hybrid semantic similarity measure. Cognitive Computation, 7, 667-679.
- Sentiment-topic modeling in text mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(5), 246-254.
- Dynamic joint sentiment-topic model. ACM Transactions on Intelligent Systems and Technology, 5(1), 1-21.
- Weakly Supervised Joint Sentiment-Topic Detection from Text. IEEE Transactions on Knowledge and Data Engineering, 24(6), 1134-1145.
- View this article in WRRO
- Split Over-Training for Unsupervised Purchase Intention Identification. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3921-3928.
Chapters
- Domain-Driven and Discourse-Guided Scientific Summarisation, Lecture Notes in Computer Science (pp. 361-376). Springer Nature Switzerland
- Safety, Encyclopedia of Social Network Analysis and Mining (pp. 2281-2281). Springer New York
Conference proceedings papers
- Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review. Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering, 19 February 2023 - 21 February 2023.
- Tell me how to survey: literature review made simple with automatic reading path generation. Proceedings of 2022 IEEE 38th International Conference on Data Engineering (ICDE) (pp 3426-3438). Kuala Lumpur, Malaysia, 9 May 2022 - 12 May 2022.
- Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. Proceedings of the 30th ACM International Conference on Information & Knowledge Management
- Cross-lingual word embedding refinement by ℓ1 norm optimisation. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (pp 2690-2701). Virtual conference, 6 June 2021 - 11 June 2021. View this article in WRRO
- Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. 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), August 2021 - August 2021.
- Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June 2021 - June 2021. View this article in WRRO
- View this article in WRRO
- Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation. Proceedings of the 28th International Conference on Computational Linguistics, December 2020 - December 2020.
- DGST: a Dual-Generator Network for Text Style Transfer. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020 - November 2020.
- View this article in WRRO
- View this article in WRRO
- Word embedding and wordnet based metaphor identification and interpretation. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp 1222-1231). Melbourne, Australia, 15 July 2018 - 20 July 2018. View this article in WRRO
- Assessing the Effectiveness of Affective Lexicons for Depression Classification (pp 65-69)
- Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation. Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization
- View this article in WRRO
- Automatically Labelling Sentiment-Bearing Topics with Descriptive Sentence Labels (pp 299-312)
- Tracking Sentiment and Topic Dynamics from Social Media (pp 457-465)
- Automatically Predicting Quiz Difficulty Level Using Similarity Measures. Proceedings of the Knowledge Capture Conference on ZZZ - K-CAP 2015, 7 October 2015 - 10 October 2015.
- Applying Rule Extraction & Rule Refinement techniques to (Blackbox) Classifiers. Proceedings of the Knowledge Capture Conference on ZZZ - K-CAP 2015, 7 October 2015 - 10 October 2015.
- Web as Corpus Supporting Natural Language Generation for Online River Information Communication. Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion, 18 May 2015 - 22 May 2015.
- Online Sentiment and Topic Dynamics Tracking over the Streaming Data. 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing, 3 September 2012 - 5 September 2012.
- Feature LDA: A supervised topic model for automatic detection of web API documentations from the web. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7649 LNCS(PART 1) (pp 328-343)
- Protein-Protein Interactions Classification from Text via Local Learning with Class Priors (pp 182-191)
- Joint sentiment/topic model for sentiment analysis. Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09, 2 November 2009 - 6 November 2009.
- A multi-agent system for intelligent pervasive spaces. 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, 12 October 2008 - 15 October 2008.
- A multi-agent system for intelligent pervasive spaces. Proceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008, Vol. 1 (pp 1005-1010)
Reports
Theses / Dissertations
Preprints
- MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning, arXiv.
- HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models, arXiv.
- View this article in WRRO
- Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features. Information Processing & Management, 60(4), 103356-103356.
- Grants
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Research Grants
- Natural Language Processing for Automated Requirements Formalisation, MDENet, 01/04/2022 - 31/07/2022, £4,916, as PI
- Professional activities and memberships
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Member of the Natural Language Processing research group