Dr Yunfei Long
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Email
yl20051@essex.ac.uk -
Location
4B.521, Colchester Campus
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Academic support hours
Thursday 16:00-18:00
Profile
Biography
My research is focused on natural language understanding, currently, I have three research threads: 1: Applying linguistic knowledge bases to fundamental NLP tasks. 2: NLP applications in healthcare, legal, criminology, and media. 3: User profile-based emotion analysis based on text and multimodality data.
Qualifications
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PhD The Hong Kong Polytechnic University, (2019)
Research and professional activities
Research interests
Developing novel Natural Language Processing and Explainable AI for modelling healthcare data
This research aims to develop a series of improvement works for NLP and XAI in clinical data and other health-related data that will provide: 1. Adapt Responsible Research & Innovation (RRI) methods to start the interdisciplinary clinical data science and NLP works in Essex. 2. Prototype a person-centered supervised model training process to refine definitions and expose and explore tacit and latent knowledge in psychotherapy assessment. 3. Identify the key factors contributing to performance and trust in the model pipeline (data, processing, deployment) by examining domain expert requirements for the qualities of an engaging, interactive feedback interface and eliciting broader concerns about its acceptability. 4. Assess whether patient and practitioner knowledge base in developing a digital mental health decision support tool increases performance and trust in it.
Leveraging Lexical Semantics in Affective Analysis (and other NLP applications)
This study aims to investigate novel models to incorporate features of lexical items and ontologies in English from external resources into neural NLP frameworks. This allows the models to take the combined effects of bi-directional feeling between the professional knowledge and the text to infer human affective understanding and to the wider Natural language understanding.
NLP application in media, legal, and crime studies
Teaching and supervision
Current teaching responsibilities
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Team Project Challenge (CE201)
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Natural Language Engineering (CE314)
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Natural Language Engineering (CE887)
Current supervision
Publications
Publications (1)
Yang, H., Hadjiantoni, S., Long, Y., Petraityte, R. and Lausen, B., (2023). Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approaches
Journal articles (28)
Lu, Q., Sun, X., Gao, Z., Long, Y., Feng, J. and Zhang, H., (2024). Coordinated-joint Translation Fusion Framework with Sentiment-interactive Graph Convolutional Networks for Multimodal Sentiment Analysis. Information Processing and Management. 61 (1), 103538-103538
Lu, Q., Sun, X., Long, Y., Gao, Z., Feng, J. and Sun, T., (2023). Sentiment Analysis: Comprehensive Reviews, Recent Advances, and Open Challenges. IEEE Transactions on Neural Networks and Learning Systems, 1-21
Fang, H., Xu, G., Long, Y., Guan, Y., Yang, X., Chen, Z. and Long, Y., (2023). A System Review on Bootstrapping Information Extraction. Multimedia Tools and Applications
Ito-Jaeger, S., Perez Vallejos, E., Curran, T., Spors, V., Long, Y., Liguori, A., Warwick, M., Wilson, M. and Crawford, P., (2022). Digital video interventions and mental health literacy among young people: a scoping review.. Journal of Mental Health. 31 (6), 873-883
Fang, H., Chen, C., Long, Y., Xu, G. and Xiao, Y., (2022). DTCRSKG: A Deep Travel Conversational Recommender System Incorporating Knowledge Graph. Mathematics. 10 (9), 1402-1402
Fang, H., Xu, G., Long, Y. and Tang, W., (2022). An Effective ELECTRA-Based Pipeline for Sentiment Analysis of Tourist Attraction Reviews. Applied Sciences. 12 (21), 10881-10881
Malins, S., Figueredo, G., Jilani, T., Long, Y., Andrews, J., Rawsthorne, M., Manolescu, C., Clos, J., Higton, F., Waldram, D., Hunt, D., Perez Vallejos, E. and Moghaddam, N., (2022). Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach.. JMIR Medical Informatics. 10 (11), e38168-e38168
Andrews, JA., Rawsthorne, M., Manolescu, C., Burton McFaul, M., French, B., Rye, E., McNaughton, R., Baliousis, M., Smith, S., Biswas, S., Baker, E., Repper, D., Long, Y., Jilani, T., Clos, J., Higton, F., Moghaddam, N. and Malins, S., (2022). Involving psychological therapy stakeholders in responsible research to develop an automated feedback tool: Learnings from the ExTRAPPOLATE project. Journal of Responsible Technology. 11, 100044-100044
Long, Y., Xiang, R., Lu, Q., Huang, C-R. and Li, M., (2021). Improving attention model based on cognition grounded data for sentiment analysis. IEEE Transactions on Affective Computing. 12 (4), 900-912
Lin, Z., Long, Y., Du, J. and Xu, R., (2021). A Multi-modal Sentiment Recognition Method Based on Multi-task Learning. Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis. 57 (1), 7-15
Xiang, R., Chersoni, E., Lu, Q., Huang, C., Li, W. and Long, Y., (2021). Lexical data augmentation for sentiment analysis. Journal of the Association for Information Science and Technology. 72 (11), 1432-1447
Jin, G., Zhou, J., Qu, W., Long, Y. and Gu, Y., (2021). Exploiting Rich Event Representation to Improve Event Causality Recognition. Intelligent Automation and Soft Computing. 29 (3), 161-173
Shi, H., Qu, W., Wei, T., Zhou, J., Long, Y., Gu, Y. and Li, B., (2021). Hybrid Neural Network for Automatic Recovery of Elliptical Chinese Quantity Noun Phrases. Computers, Materials and Continua. 69 (3), 4113-4127
Wu, T., Zhou, J., Qu, W., Gu, Y., Li, B., Zhong, H. and Long, Y., (2021). Improving AMR parsing by exploiting the dependency parsing as an auxiliary task. Multimedia Tools and Applications. 80 (20), 30827-30838
Chen, I-H., Long, Y., Lu, Q. and Huang, C-R., (2021). Orthographic features for emotion classification in Chinese in informal short texts. Language Resources and Evaluation. 55 (2), 329-352
Ong, ZX., Dowthwaite, L., Perez Vallejos, E., Rawsthorne, M. and Long, Y., (2021). Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures.. Frontiers in Psychology. 12, 616637-
Shen, J., Ma, MD., Xiang, R., Lu, Q., Vallejos, EP., Xu, G., Huang, C-R. and Long, Y., (2020). Dual memory network model for sentiment analysis of review text. Knowledge-Based Systems. 188, 105004-105004
Bergin, AD., Vallejos, EP., Davies, EB., Daley, D., Ford, T., Harold, G., Hetrick, S., Kidner, M., Long, Y., Merry, S., Morriss, R., Sayal, K., Sonuga-Barke, E., Robinson, J., Torous, J. and Hollis, C., (2020). Preventive digital mental health interventions for children and young people: a review of the design and reporting of research. npj Digital Medicine. 3 (1), 133-
Wei, T., Qu, W., Zhou, J., Long, Y., Gu, Y. and Xia, Z., (2020). Improving Chinese Word Representation with Conceptual Semantics. Computers, Materials & Continua. 64 (3), 1897-1913
Xiang, R., Lu, Q., Jiao, Y., Zheng, Y., Ying, W. and Long, Y., (2019). Leveraging writing systems changes for deep learning based Chinese affective analysis. International Journal of Machine Learning and Cybernetics. 10 (11), 3313-3325
Chen, I-H., Zhao, Q., Long, Y., Lu, Q. and Huang, C-R., (2019). Mandarin Chinese modality exclusivity norms. PLoS One. 14 (2), e0211336-e0211336
Chen, I-H., Long, Y., Lu, Q. and Huang, C-R., (2019). Metaphor Detection: Leveraging Culturally Grounded Eventive Information. IEEE Access. 7, 10987-10998
Zhou, J., Lu, Q., Gui, L., Xu, R., Long, Y. and Wang, H., (2019). MTTFsite: cross-cell type TF binding site prediction by using multi-task learning.. Bioinformatics. 35 (24), 5067-5077
Li, M., Lu, Q., Xiong, D. and Long, Y., (2018). Phrase embedding learning based on external and internal context with compositionality constraint. Knowledge-Based Systems. 152, 107-116
Zhao, Q., Huang, C-R. and Long, Y., (2018). Synaesthesia in Chinese: A corpus-based study on gustatory adjectives in Mandarin. Linguistics. 56 (5), 1167-1194
Long, Y., Xiang, R., Lu, Q., Xiong, D., Huang, C-R., Bi, C. and Li, M., (2018). Learning Heterogeneous Network Embedding From Text and Links. IEEE Access. 6, 55850-55860
Li, M., Lu, Q., Long, Y. and Gui, L., (2017). Inferring Affective Meanings of Words from Word Embedding. IEEE Transactions on Affective Computing. 8 (4), 443-456
Gu, Y., Wang, D., Wang, Y., Long, Y., Jiang, S., Zhou, J. and Qu, W., (2016). Similar spatial textual objects retrieval strategy. Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis. 52 (1), 120-126
Book chapters (1)
Wang, X., Long, Y., Qin, P., Huang, C., Guo, C., Gao, Y. and Huang, C-R., (2022). From Complex Emotion Words to Insomnia and Mental Health: A Corpus-Based Analysis of the Online Psychological Consultation Discourse About Insomnia Problems in Chinese. In: Lecture Notes in Computer Science. Springer International Publishing. 221- 232. 9783031065460
Conferences (27)
Yuhan, X., Qingqing, Z., Long, Y. and Xu, G., Sensory Features in Affective Analysis: A Study Based on Neural Network Models
Shen, J., He, Y., Long, YUNFEI., Wen, J., Wang, Y. and Yang, Y., Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data
Huang, G., Long, Y., Luo, C. and Li, Y., LIDA: Lexical-based Imbalanced Data Augmentation for Content Moderation
Zhao, Q. and Long, Y., (2022). A Diachronic Study on Linguistic Synesthesia in Chinese
Jiang, X., Zhao, Q., Long, Y. and Wang, Z., (2022). Chinese Synesthesia Detection: New Dataset and Models
Lin, Z., Liang, B., Long, Y., Dang, Y., Yang, M., Zhang, M. and Xu, R., (2022). Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis
Long, Y., Xu, H., Qi, P., Zhang, L. and Li, J., (2021). Graph Attention Network for Word Embeddings
Zhao, Q., Xiao, Y. and Long, Y., (2021). Multi-task CNN for Abusive Language Detection
Xiang, R., Chersoni, E., Long, Y., Lu, Q. and Huang, C-R., (2020). Lexical Data Augmentation for Text Classification in Deep Learning
Zhao, Q., Long, Y. and Huang, C-R., (2020). Linguistic Synaesthesia of Mandarin Sensory Adjectives: Corpus-Based and Experimental Approaches
Xiang, R., Gao, X., Long, Y., Li, A., Chersoni, E., Lu, Q. and Huang, C-R., (2020). Ciron: a New Benchmark Dataset for Chinese Irony Detection
Xiang, R., Long, Y., Wan, M., Gu, J., Lu, Q. and Huang, C-R., (2020). Affection Driven Neural Networks for Sentiment Analysis
Zhong, H., Zhou, J., Qu, W., Long, Y. and Gu, Y., (2020). An Element-aware Multi-representation Model for Law Article Prediction
Klyueva, N., Long, Y., Huang, CR. and Lu, Q., (2018). Food-related sentiment analysis for Cantonese
Long, Y., Ma, M., Lu, Q., Xiang, R. and Huang, CR., (2018). Dual Memory Network Model for Biased Product Review Classification
Long, Y., (2017). Fake News Detection Through Multi-Perspective Speaker Profiles
Chen, I-H., Long, Y., Lu, Q. and Huang, C-R., (2017). Leveraging Eventive Information for Better Metaphor Detection and Classification
Long, Y., Qin, L., Xiang, R., Li, M. and Huang, C-R., (2017). A Cognition Based Attention Model for Sentiment Analysis
Li, M., Lu, Q. and Long, Y., (2017). Representation Learning of Multiword Expressions with Compositionality Constraint
Li, M., Long, Y., Lu, Q. and Li, W., (2016). Emotion corpus construction based on selection from hashtags
Li, M., Long, Y. and Lu, Q., (2016). A regression approach to valence-arousal ratings of words from word embedding
Li, M., Wang, D., Lu, Q. and Long, Y., (2016). Event based emotion classification for news articles
Long, Y., Lu, Q., Xiao, Y., Li, M. and Huang, C-R., (2016). Domain-specific user preference prediction based on multiple user activities
Long, Y., Xiong, D., Lu, Q., Li, M. and Huang, C-R., (2016). Named Entity Recognition for Chinese Novels in the Ming-Qing Dynasties
Li, M., Lu, Q., Gui, L. and Long, Y., (2016). Towards Scalable Emotion Classification in Microblog Based on Noisy Training Data
Li, B., Long, Y. and Qu, W., (2015). Dependency parsing for Chinese long sentence: A second-stage main structure parsing method
Long, Y., Bian, Y., Qu, W. and Dai, R., (2015). New editing and checking work of the Semantic Knowledge base of Contemporary Chinese (SKCC)
Grants and funding
2023
Iceni Projects Ltd
Innovate UK (formerly Technology Strategy Board)
KTP with Hood Group: To embed the latest techniques in machine learning and natural language processing for automation of data collection, collation and provision in the form of a concierge style app for travel insurance customers.
Innovate UK (formerly Technology Strategy Board)
To develop a new 'Job Discovery' Natural Language Processing (NLP) Chatbot which will help provide a superlative candidate advice and access to all potential opportunities when visiting the career page of an organisation.
Innovate UK (formerly Technology Strategy Board)
2022
Healthshare Limited KTP Application - Feb 2022 Submission
Innovate UK (formerly Technology Strategy Board)
2021
Horus Security KTP Application
Innovate UK (formerly Technology Strategy Board)
2020
ExTRA-PPOLATE (Explainable Therapy Related Annotations: Patient & Practitioner Oriented Learning Assisting Trust & Engagement)
Engineering and Physical Sciences Research Council
2019
Mondaq KTP 2
Innovate UK (formerly Technology Strategy Board)
Contact
Academic support hours:
Thursday 16:00-18:00
