People

Dr Richard Sutcliffe

Senior Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Richard Sutcliffe
  • Email

  • Location

    4B.527, Colchester Campus

  • Academic support hours

    Academic Support Hours: Monday 14:00-15:00, Thursday 12:00-13:00

Profile

Biography

Richard Sutcliffe received a Ph.D. degree from the University of Essex, Colchester, U.K., in 1989. He is a Senior Lecturer in Natural Language Processing at University of Essex, UK, and a former Associate Professor at Northwest University, Xi’an, China. His current research interests include natural language processing, information retrieval, and music information retrieval. He has coauthored 101 articles - including 19 journal articles since 2018 - and coedited 3 books and 10 conference proceedings. He has 1942 citations on Google Scholar: https://scholar.google.com/citations?hl=en&user=LqjaP10AAAAJ&view_op=list_works&sortby=pubdate with an i10-index of 45 and an h-index of 23. Recent work has focused on Sentiment and Personality, in text, speech and music audio. He is available to supervise Ph.D. work in these and related areas. He has previously worked in Amharic, Chinese, English and Sudanese, but other languages are possible. [See REFERENCES below, and under the Publications Tab] Back in 2016, he and Naoto Nishio linked personality with translation ability. They showed that people were better translators if they went to the opera or played board games like Scrabble (see J6 below, available full text under Publications tab). They also studied personality traits such as reversing your car into the drive instead of going forwards. In 2023 he wrote a review discussing 200 papers concerned with personality in conversational agents and chatbots [T5], one of the earliest such reviews to see the importance of personality. With Mustafa Mhamed he has worked on sentiment analysis in Arabic social media text, working in both Modern Standard Arabic (MSA) and in Sudanese Arabic. Mostly CNN models were used and special Arabic preprocessing steps developed by Mustafa were incorporated [J21, J25]. He and Mustafa also developed two sentiment datasets for Sudanese, one 2-way and one 3-way, the first to be produced for the Sudanese dialect [J22]. With Afele Retta he has worked on Kignit Classification in Ethiopian music using CNNs [J20]. Kignits are Pentatonic scales which characterise not only the melodic basis of the music, but also its character and mood. We produced a dataset by collecting public domain recordings and also by commissioning our own recordings in Asmari Houses in Addis Ababa. He and Retta also worked on speech emotion classification in Amharic and developed a dataset which was the first of its kind for that language [J16]. Working with several excellent students at Northwest University, he has co-authored various articles on sentiment analysis and related topics [J10, J18, J24]. With Jingzhao (Tony) Hu at NWU he co-authored work on analysing EEG signals to extract emotion data directly, using an architecture called ScalingNet developed by Tony [J15]. They also worked on the closely related topic of unbalanced datasets where Tony developed a Batch Balance Wrapper architecture for training NNs on such data where there are very few samples in the minority class, and a huge number of samples in the majority class [J14]. In addition to the above, he has worked on Music Information Retrieval, in particular the relationship between natural language descriptions of musical events such as "perfect cadence" and the parts of symbolic music scores in MusicXML where these events occur. He was the initiator and co-organiser of the C@merata Evaluations at MediaEval (see J7 below for details). He has received many grants, including those from ESRC, European Union, Forbairt Ireland, Innovate UK, and National Software Directorate of Ireland. Dr. Sutcliffe has reviewed for Artificial Intelligence In Medicine, Artificial Intelligence Review, Computer Speech & Language, Computational Linguistics, Computers and the Humanities, Engineering Applications of Artificial Intelligence, Expert Systems With Applications, Heliyon, IEEE Transactions on Audio, Speech and Language Processing, IEEE Transactions on Multimedia, Information Processing and Management, Information Retrieval Journal, Journal of Natural Language Engineering, Journal of Supercomputing, Journal Traitement Automatique des Langues, Neural Networks, and Neurocomputing. Conferences he has reviewed for include ACL, CIKM, COLING, IJCNLP, LREC, NAACL-HLT, and SIGIR. References (see also complete list under Publications Tab) [J25] Mhamed, M., Sutcliffe, R., & Feng, J. (2025). Benchmark Arabic news posts and analyzes Arabic sentiment through RMuBERT and SSL with AMCFFL technique. Egyptian Informatics Journal, 29, 100601. [J24] Xia, T., Sun, X., Yang, Y., Long, Y., & Sutcliffe, R. (Submitted 03.08.23, Accepted 12.06.24, Published Online 14.06.24, Will be published in Volume 597 07.09.24). A dual-relation encoder network for aspect sentiment triplet extraction. Neurocomputing (Elsevier), Volume 597. [J23] Retta, E. A., Sutcliffe, R., Mahmood, J., Berwo, M. A., Almekhlafi, E., Khan, S. A., Chaudhry, S. A., Mhamed, M., & Feng, J. (2023). Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages. Applied Sciences. E. [J22] Mhamed, M., Sutcliffe, R., Sun, X., Feng, J., Almekhlafi, E., & Retta, E. A. (2023). A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets. Journal of Information Science. [J21] Mhamed, M., Sutcliffe, R., Sun, X., Feng, J., & Retta, E. A. (2023). Arabic sentiment analysis using GCL-based architectures and a customized regularization function. Engineering Science and Technology (Elsevier). [J20] Retta, E. A., Sutcliffe, R., Almekhlafi, E., Enku, Y. K., Alemu, E., Gemechu, T. D., Berwo, M. A., Mhamed, M., & Feng, J. (2023). Kiñit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark. PLOS ONE. [J18] Lu, Q., Sun, X., Sutcliffe, R., Xing, Y., & Zhang, H. (2022). Sentiment interaction and multi-graph perception with Graph Convolutional Networks for aspect-based sentiment analysis. Knowledge-Based Systems (Elsevier). [J16] Retta, E. A., Almekhlafi, E., Sutcliffe, R., Mhamed, M., Ali, H., & Feng, J. (Revision 1 submitted 05.07.21, Revision 2 submitted 16.11.21, Accepted 30.03.22). ASED: A New Amharic Speech Emotion Dataset. Transactions on Asian and Low-Resource Language Information Processing. [J15] Hu, J., Wang, C., Jia, Q., Bu, Q., Sutcliffe, R., & Feng, J. (2021). ScalingNet: extracting features from raw EEG data for emotion recognition. Neurocomputing, 463, 177-184. https://doi.org/10.1016/j.neucom.2021.08.018. [J14] Hu, J., Zhang, H., Liu, Y., Sutcliffe, R., & Feng, J. (Accepted 16.06.21, published 15.09.21). BBW: A Batch Balance Wrapper for Training Deep Neural Networks on Extremely Imbalanced Datasets with Few Minority Samples. Applied Intelligence. https://doi.org/10.1007/s10489-021-02623-9 https://link.springer.com/content/pdf/10.1007/s10489-021-02623-9.pdf. [J10] Sun, X., Gao, Y., Sutcliffe, R., Guo, S.-X., Wang, X., Feng, J. (2021). Word Representation Learning Based on Bidirectional GRUs With Drop Loss for Sentiment Classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(7), 4532-4542. [J7] Sutcliffe, R. F. E., Hovy, E., Collins, T., Wan, S., Crawford, T., & Root, D. L. (2018). Searching for Musical Features using Natural Language Queries: The C@merata Evaluations at MediaEval. Language Resources and Evaluation Journal. [J6] Nishio, N. and Sutcliffe, R. F. E. (2016). Opera Goer or Scrabble Player: What Makes a Good Translator? Machine Translation, 30(1-2), 63-109. 47 pages. [T5] Sutcliffe, R. (2023). A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots. arXiv preprint arXiv:2401.00609. 25 pages, 6 tables, 207 references. 31.12.23.

Research and professional activities

Research interests

Natural Language Processing

Open to supervise

Information Retrieval

Open to supervise

Question Answering

Open to supervise

Computer Musicology

Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Information Retrieval (CE306)

  • Information Retrieval (CE706)

Previous supervision

Husam Malek Zaki Quteineh
Husam Malek Zaki Quteineh
Thesis title: Text Generation for Small Data Regimes
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 16/9/2022

Publications

Journal articles (27)

Mhamed, M., Sutcliffe, R. and Feng, J., (2025). Benchmark Arabic news posts and analyzes Arabic sentiment through RMuBERT and SSL with AMCFFL technique. Egyptian Informatics Journal. 29, 100601-100601

Xia, T., Sun, X., Yang, Y., Long, Y. and Sutcliffe, R., (2024). A dual relation-encoder network for aspect sentiment triplet extraction. Neurocomputing. 597, 128064-128064

Sun, X., Li, B., Sutcliffe, R., Gao, Z., Kang, W. and Feng, J., (2023). Wse-MF: A weighting-based student exercise matrix factorization model. Pattern Recognition. 138, 109285-109285

Mhamed, M., Sutcliffe, R., Sun, X., Feng, J. and Retta, EA., (2023). Arabic sentiment analysis using GCL-based architectures and a customized regularization function. Engineering Science and Technology, an International Journal. 43, 101433-101433

Retta, EA., Sutcliffe, R., Almekhlafi, E., Enku, YK., Alemu, E., Gemechu, TD., Berwo, MA., Mhamed, M. and Feng, J., (2023). Kiñit classification in Ethiopian chants, Azmaris and modern music: A new dataset and CNN benchmark.. PLoS One. 18 (4), e0284560-e0284560

Retta, EA., Sutcliffe, R., Mahmood, J., Berwo, MA., Almekhlafi, E., Khan, SA., Chaudhry, SA., Mhamed, M. and Feng, J., (2023). Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages. Applied Sciences. 13 (23), 12587-12587

Mhamed, M., Sutcliffe, R., Quteineh, H., Sun, X., Almekhlafi, E., Retta, EA. and Feng, J., (2023). A deep CNN architecture with novel pooling layer applied to two Sudanese Arabic sentiment data sets. Journal of Information Science. 52 (1), 285-306

Retta, EA., Almekhlafi, E., Sutcliffe, R., Mhamed, M., Ali, H. and Feng, J., (2023). A New Amharic Speech Emotion Dataset and Classification Benchmark. ACM Transactions on Asian and Low-Resource Language Information Processing. 22 (1), 1-22

Lu, X., Deng, Y., Sun, T., Gao, Y., Feng, J., Sun, X. and Sutcliffe, R., (2022). MKPM: Multi keyword-pair matching for natural language sentences. Applied Intelligence. 52 (2), 1878-1892

Chen, J., Sun, X., Jin, X. and Sutcliffe, R., (2022). Extracting drug-drug interactions from no-blinding texts using key semantic sentences and GHM loss.. Journal of Biomedical Informatics. 135, 104192-104192

Hu, J., Zhang, H., Liu, Y., Sutcliffe, R. and Feng, J., (2022). BBW: a batch balance wrapper for training deep neural networks on extremely imbalanced datasets with few minority samples. Applied Intelligence. 52 (6), 6723-6738

Sun, X., Zhao, X., Li, B., Ma, Y., Sutcliffe, R. and Feng, J., (2022). Dynamic Key-Value Memory Networks With Rich Features for Knowledge Tracing. IEEE Transactions on Cybernetics. 52 (8), 8239-8245

Lu, Q., Sun, X., Sutcliffe, R., Xing, Y. and Zhang, H., (2022). Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis. Knowledge-Based Systems. 256, 109840-109840

Sun, X., Gao, Y., Sutcliffe, R., Guo, S-X., Wang, X. and Feng, J., (2021). Word Representation Learning Based on Bidirectional GRUs With Drop Loss for Sentiment Classification. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51 (7), 4532-4542

Hu, J., Wang, C., Jia, Q., Bu, Q., Sutcliffe, R. and Feng, J., (2021). ScalingNet: Extracting features from raw EEG data for emotion recognition. Neurocomputing. 463, 177-184

Mhamed, M., Sutcliffe, R., Sun, X., Feng, J., Almekhlafi, E. and Retta, EA., (2021). Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing.. Computational Intelligence and Neuroscience. 2021 (1), 5538791-5538791:1

Sun, X., Dong, K., Ma, L., Sutcliffe, R., He, F., Chen, S. and Feng, J., (2019). Drug-Drug Interaction Extraction via Recurrent Hybrid Convolutional Neural Networks with an Improved Focal Loss. Entropy. 21 (1), 37-37

Feng, J., Liu, Z., Feng, H., Sutcliffe, R., Liu, J. and Han, J., (2019). A New Phylogenetic Inference Based on Genetic Attribute Reduction for Morphological Data. Entropy. 21 (3), 313-313

Sutcliffe, R., Hovy, E., Collins, T., Wan, S., Crawford, T. and Root, DL., (2019). Searching for musical features using natural language queries: the C@merata evaluations at MediaEval. Language Resources and Evaluation. 53 (1), 87-140

Nishio, N. and Sutcliffe, RFE., (2017). Opera goer or Scrabble player: what makes a good translator?. Machine Translation. 30 (1-2), 63-109

Peñas, A., Magnini, B., Forner, P., Sutcliffe, R., Rodrigo, Á. and Giampiccolo, D., (2012). Question answering at the cross-language evaluation forum 2003–2010. Language Resources and Evaluation. 46 (2), 177-217

White, K. and Sutcliffe, RFE., (2011). Butcher, baker, or candlestick maker? Predicting occupations using predicate-argument relations. Journal of the American Society for Information Science and Technology. 62 (7), 1325-1344

White, KJ. and Sutcliffe, RFE., (2006). Applying incremental tree induction to retrieval from manuals and medical texts. Journal of the American Society for Information Science and Technology. 57 (5), 588-600

Sutcliffe, RFE., (2002). Preface. Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science. 2464

Sutcliffe, RFE., O'Sullivan, D., McElligott, A. and Sheahan, L., (1995). Creation of a semantic lexicon by Traversal of a machine tractable concept taxonomy*. Journal of Quantitative Linguistics. 2 (1), 33-42

Sutcliffe, RFE. and Slater, BEA., (1995). Disambiguation by association as a practical method: Experiments and findings*. Journal of Quantitative Linguistics. 2 (1), 43-52

(1988). Natural language understanding, propositional representations and the parrot system. Neural Networks. 1 (1 SUPPL), 318-318

Books (1)

Sutcliffe, RFE., Koch, H-D. and McElligott, A., (1996). Industrial Parsing of Software Manuals. Brill/Rodopi. 9042001143. 9789042001145

Book chapters (3)

Peñas, A., Rodrigo, Á., Magnini, B., Forner, P., Hovy, E., Sutcliffe, R. and Giampiccolo, D., (2019). Results and Lessons of the Question Answering Track at CLEF. In: The Information Retrieval Series. Editors: . Springer International Publishing. 441- 460. 9783030229474

(2016). Connectionist Approaches to Natural Language Processing. In: Connectionist Approaches to Natural Language Processing. Editors: Reilly, RG. and Sharkey, N., . Routledge. 49- 73

Kruschwitz, U., Webb, N. and Sutcliffe, R., (2009). Query Log Analysis for Adaptive Dialogue-Driven Search. In: Handbook of Research on Web Log Analysis. IGI Global. 389- 414

Conferences (178)

Yang, Y., Sun, X., Lu, Q., Sutcliffe, R. and Feng, J., (2023). A Sentiment and Syntactic-Aware Graph Convolutional Network for Aspect-Level Sentiment Classification

Jin, X., Sun, X., Chen, J. and Sutcliffe, R., (2022). Extracting Drug-drug Interactions from Biomedical Texts using Knowledge Graph Embeddings and Multi-focal Loss

Quteineh, H., Samothrakis, S. and Sutcliffe, R., (2022). Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation

Quteineh, H., Samothrakis, S. and Sutcliffe, R., (2020). Textual Data Augmentation for Efficient Active Learning on Tiny Datasets

Kai, Z., Feng, J., Sutcliffe, R., Xiaoyu, W. and Qirong, B., (2019). Multi-depth Dilated Network for Fashion Landmark Detection

(2017). Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017.

(2017). Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), Dublin, Ireland, September 13-15, 2017.

Bischke, B., Helber, P., Schulze, C., Srinivasan, V., Dengel, A. and Borth, D., (2017). The Multimedia Satellite Task at MediaEval 2017.

Bischke, B., Helber, P., Schulze, C., Srinivasan, V., Dengel, A. and Borth, D., (2017). The Multimedia Satellite Task at MediaEval 2017.

Dellandréa, E., Huigsloot, M., Chen, L., Baveye, Y. and Sjöberg, M., (2017). The MediaEval 2017 Emotional Impact of Movies Task.

Dellandréa, E., Huigsloot, M., Chen, L., Baveye, Y. and Sjöberg, M., (2017). The MediaEval 2017 Emotional Impact of Movies Task.

Bogdanov, D., Porter, A., Urbano, J. and Schreiber, H., (2017). The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.

Bogdanov, D., Porter, A., Urbano, J. and Schreiber, H., (2017). The MediaEval 2017 AcousticBrainz Genre Task: Content-based Music Genre Recognition from Multiple Sources.

Parekh, J., Tibrewal, H. and Parekh, S., (2017). The IITB Predicting Media Interestingness System for MediaEval 2017.

Parekh, J., Tibrewal, H. and Parekh, S., (2017). The IITB Predicting Media Interestingness System for MediaEval 2017.

Katsiavalos, A., (2017). The DMUN System at the MediaEval 2017 C@merata Task.

Katsiavalos, A., (2017). The DMUN System at the MediaEval 2017 C@merata Task.

Boteanu, B., Constantin, MG. and Ionescu, B., (2017). LAPI @ 2017 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification Perspective.

Boteanu, B., Constantin, MG. and Ionescu, B., (2017). LAPI @ 2017 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification Perspective.

Dauban, N., (2017). DNN in the AcousticBrainz Genre Task 2017.

Dauban, N., (2017). DNN in the AcousticBrainz Genre Task 2017.

Bischke, B., Bhardwaj, P., Gautam, A., Helber, P., Borth, D. and Dengel, A., (2017). Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks.

Bischke, B., Bhardwaj, P., Gautam, A., Helber, P., Borth, D. and Dengel, A., (2017). Detection of Flooding Events in Social Multimedia and Satellite Imagery using Deep Neural Networks.

Nogueira, K., Fadel, SG., Dourado, ÍC., Werneck, RDO., Muñoz, JAV., Penatti, OAB., Calumby, RT., Li, L., Santos, JAD. and Torres, RDS., (2017). Data-Driven Flood Detection using Neural Networks.

Nogueira, K., Fadel, SG., Dourado, ÍC., Werneck, RDO., Muñoz, JAV., Penatti, OAB., Calumby, RT., Li, L., Santos, JAD. and Torres, RDS., (2017). Data-Driven Flood Detection using Neural Networks.

Gupta, R. and Narwaria, M., (2017). DA-IICT at MediaEval 2017: Objective Prediction of Media Interestingness.

Gupta, R. and Narwaria, M., (2017). DA-IICT at MediaEval 2017: Objective Prediction of Media Interestingness.

Ahmad, S., Ahmad, K., Ahmad, N. and Conci, N., (2017). Convolutional Neural Networks for Disaster Images Retrieval.

Ahmad, S., Ahmad, K., Ahmad, N. and Conci, N., (2017). Convolutional Neural Networks for Disaster Images Retrieval.

Ahmad, K., Pogorelov, K., Riegler, M., Conci, N. and Halvorsen, P., (2017). CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection.

Ahmad, K., Pogorelov, K., Riegler, M., Conci, N. and Halvorsen, P., (2017). CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection.

Peng, L., Bin, Y., Fu, X., Zhou, J., Yang, Y. and Shen, HT., (2017). CFM@MediaEval 2017 Retrieving Diverse Social Images Task via Re-ranking and Hierarchical Clustering.

Peng, L., Bin, Y., Fu, X., Zhou, J., Yang, Y. and Shen, HT., (2017). CFM@MediaEval 2017 Retrieving Diverse Social Images Task via Re-ranking and Hierarchical Clustering.

Karslioglu, N., Timar, Y., Salah, AA. and Kaya, H., (2017). BOUN-NKU in MediaEval 2017 Emotional Impact of Movies Task.

Karslioglu, N., Timar, Y., Salah, AA. and Kaya, H., (2017). BOUN-NKU in MediaEval 2017 Emotional Impact of Movies Task.

Wan, S., (2017). The CLAS System at the MediaEval 2017 C@merata Task.

Wan, S., (2017). The CLAS System at the MediaEval 2017 C@merata Task.

Sutcliffe, R., O'Maidn, DS. and Hovy, E., (2017). The c@merata task at mediaeval 2017: Natural language queries about music, their json representations, and matching passages in musicxml scores

Sutcliffe, R., O'Maidn, DS. and Hovy, E., (2017). The c@merata task at mediaeval 2017: Natural language queries about music, their json representations, and matching passages in musicxml scores

Dellandréa, E., Chen, L., Baveye, Y., Sjöberg, M. and Chamaret, C., (2016). The MediaEval 2016 Emotional Impact of Movies Task.

Dellandréa, E., Chen, L., Baveye, Y., Sjöberg, M. and Chamaret, C., (2016). The MediaEval 2016 Emotional Impact of Movies Task.

Riegler, M., Spampinato, C., Larson, MA., Griwodz, C. and Halvorsen, P., (2016). The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation.

Riegler, M., Spampinato, C., Larson, MA., Griwodz, C. and Halvorsen, P., (2016). The MediaEval 2016 Context of Experience Task: Recommending Videos Suiting a Watching Situation.

Ferreira, CD., Calumby, RT., Araujo, IBADC., Dourado, ÍC., Muñoz, JAV., Penatti, OAB., Li, LT., Almeida, J. and Torres, RDS., (2016). Recod @ MediaEval 2016: Diverse Social Images Retrieval.

Ferreira, CD., Calumby, RT., Araujo, IBADC., Dourado, ÍC., Muñoz, JAV., Penatti, OAB., Li, LT., Almeida, J. and Torres, RDS., (2016). Recod @ MediaEval 2016: Diverse Social Images Retrieval.

Rayatdoost, S. and Soleymani, M., (2016). Ranking Images and Videos on Visual Interestingness by Visual Sentiment Features.

Rayatdoost, S. and Soleymani, M., (2016). Ranking Images and Videos on Visual Interestingness by Visual Sentiment Features.

Eskevich, M., Jones, GJF., Aly, R., Ordelman, R. and Huet, B., (2016). Pursuing a Moving Target: Iterative Use of Benchmarking of a Task to Understand the Task.

Eskevich, M., Jones, GJF., Aly, R., Ordelman, R. and Huet, B., (2016). Pursuing a Moving Target: Iterative Use of Benchmarking of a Task to Understand the Task.

Sargent, G., Fonseca, GBD., Freire, IL., Sicre, R., Jr, ZKGDP., Guimarães, SJF. and Gravier, G., (2016). PUCMinas and IRISA at Multimodal Person Discovery.

Sargent, G., Fonseca, GBD., Freire, IL., Sicre, R., Jr, ZKGDP., Guimarães, SJF. and Gravier, G., (2016). PUCMinas and IRISA at Multimodal Person Discovery.

Kordopatis-Zilos, G., Popescu, A., Papadopoulos, S. and Kompatsiaris, Y., (2016). Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features.

Kordopatis-Zilos, G., Popescu, A., Papadopoulos, S. and Kompatsiaris, Y., (2016). Placing Images with Refined Language Models and Similarity Search with PCA-reduced VGG Features.

Maidín, DÓ., (2016). OMDN at the C@merata 2016 Task: Approaches to and Issues Arising from Answering Natural Language Questions about Music Scores.

Maidín, DÓ., (2016). OMDN at the C@merata 2016 Task: Approaches to and Issues Arising from Answering Natural Language Questions about Music Scores.

Lam, V., Do, T., Phan, S., Le, D-D., Satoh, S. and Duong, DA., (2016). NII-UIT at MediaEval 2016 Predicting Media Interestingness Task.

Lam, V., Do, T., Phan, S., Le, D-D., Satoh, S. and Duong, DA., (2016). NII-UIT at MediaEval 2016 Predicting Media Interestingness Task.

Bredin, H., Barras, C. and Guinaudeau, C., (2016). Multimodal Person Discovery in Broadcast TV at MediaEval 2016.

Bredin, H., Barras, C. and Guinaudeau, C., (2016). Multimodal Person Discovery in Broadcast TV at MediaEval 2016.

Katsiavalos, A., (2016). DMUN: A Textual Interface for Content-Based Music Information Retrieval in the C@merata task for MediaEval 2016.

Katsiavalos, A., (2016). DMUN: A Textual Interface for Content-Based Music Information Retrieval in the C@merata task for MediaEval 2016.

Timoleon, A-T. and Hadjileontiadis, LJ., (2016). AUTH-SGP in MediaEval 2016 Emotional Impact of Movies Task.

Timoleon, A-T. and Hadjileontiadis, LJ., (2016). AUTH-SGP in MediaEval 2016 Emotional Impact of Movies Task.

Zaharieva, M., (2016). An Adaptive Clustering Approach for the Diversification of Image Retrieval Results.

Zaharieva, M., (2016). An Adaptive Clustering Approach for the Diversification of Image Retrieval Results.

(2016). Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, The Netherlands, October 20-21, 2016.

(2016). Working Notes Proceedings of the MediaEval 2016 Workshop, Hilversum, The Netherlands, October 20-21, 2016.

Katris, N., Sutcliffe, R. and Kalamboukis, T., (2016). Using a cross-language information retrieval system based on OHSUMED to evaluate the Moses and KantanMT statistical machine translation systems

Katris, N., Sutcliffe, R. and Kalamboukis, T., (2016). Using a cross-language information retrieval system based on OHSUMED to evaluate the Moses and KantanMT statistical machine translation systems

Mytrova, M., (2016). The KIAM System in the C@merata Task at MediaEval 2016.

Mytrova, M., (2016). The KIAM System in the C@merata Task at MediaEval 2016.

Sabetghadam, S., Palotti, JRM., Rekabsaz, N., Lupu, M. and Hanbury, A., (2015). TUW @ MediaEval 2015 Retrieving Diverse Social Images Task.

Vavrek, J., Viszlay, P., Lojka, M., Pleva, M., Juhár, J. and Rusko, M., (2015). TUKE at MediaEval 2015 QUESST.

Kini, N., (2015). TNKG at the MediaEval 2015 C@merata Task.

Pellegrini, T. and Barrière, V., (2015). Time-continuous Estimation of Emotion in Music with Recurrent Neural Networks.

Proença, J., Castela, L. and Perdigão, F., (2015). The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015.

Choi, J., Hauff, C., Laere, OV. and Thomee, B., (2015). The Placing Task at MediaEval 2015.

Hou, J., Pham, VT., Leung, C-C., Wang, L., Xu, H., Lv, H., Xie, L., Fu, Z., Ni, C., Xiao, X., Chen, H., Zhang, S., Sun, S., Yuan, Y., Li, P., Nwe, TL., Sivadas, S., Ma, B., Chng, E. and Li, H., (2015). The NNI Query-by-Example System for MediaEval 2015.

Sutcliffe, R., Crawford, T., Fox, C., Root, DL., Hovy, E. and Lewis, R., (2015). Relating natural language text to musical passages

Chin, Y-H. and Wang, J-C., (2015). MediaEval 2015: Recurrent Neural Network Approach to Emotion in Music Tack.

Patra, BG., Maitra, P., Das, D. and Bandyopadhyay, S., (2015). MediaEval 2015: Music Emotion Recognition based on Feed-Forward Neural Network.

Weber, M., Krismayer, T., Wöß, J., Aigmüller, L. and Birnzain, P., (2015). MediaEval 2015: JKU-Tinnitus Approach to Emotion in Music Task.

Aljanaki, A., Wiering, F. and Veltkamp, RC., (2015). MediaEval 2015: A Segmentation-based Approach to Continuous Emotion Tracking.

Çiftçi, S., Korshunov, P., Akyüz, AO. and Ebrahimi, T., (2015). MediaEval 2015 Drone Protect Task: Privacy Protection in Surveillance Systems Using False Coloring.

Jin, Z., Cao, J., Zhang, Y. and Zhang, Y., (2015). MCG-ICT at MediaEval 2015: Verifying Multimedia Use with a Two-Level Classification Model.

Poignant, J., Bredin, H. and Barras, C., (2015). LIMSI at MediaEval 2015: Person Discovery in Broadcast TV Task.

Budnik, M., Safadi, B., Besacier, L., Quénot, G., Khodabakhsh, A. and Demiroglu, C., (2015). LIG at MediaEval 2015 Multimodal Person Discovery in Broadcast TV Task.

Lopez-Otero, P., Barros, R., Fernández, LD., González-Agulla, E., Alba-Castro, JL. and García-Mateo, C., (2015). GTM-UVigo Systems for Person Discovery Task at MediaEval 2015.

Coutinho, E., Trigeorgis, G., Zafeiriou, S. and Schuller, BW., (2015). Automatically Estimating Emotion in Music with Deep Long-Short Term Memory Recurrent Neural Networks.

Liu, Y., Liu, Y. and Gu, Z., (2015). Affective Feature Extraction for Music Emotion Prediction.

(2015). Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015.

Sutcliffe, R., Fox, C., Root, DL., Hovy, E. and Lewis, R., (2015). The C@merata Task at MediaEval 2015: Natural Language Queries on Classical Music Scores

Maidín, DÓ., (2015). OMDN at the MediaEval 2015 C@merata Task.

Katsiavalos, A. and Collins, T., (2015). DMUN at the MediaEval 2015 C@merata Task: The Stravinsqi Algorithm.

Wan, S., (2015). CLAS at the MediaEval 2015 C@merata Task.

(2014). Working Notes Proceedings of the MediaEval 2014 Workshop, Barcelona, Catalunya, Spain, October 16-17, 2014.

Riegler, M., Olsen, PN. and Halvorsen, P., (2014). Work Like a Bee - Taking Advantage of Diligent Crowdsourcing Workers.

Castán, D., Rodríguez, M., Ortega, A., Orrite, C. and Lleida, E., (2014). ViVoLab and CVLab - MediaEval 2014: Violent Scenes Detection Affect Task.

Popescu, A., Papadopoulos, S. and Kompatsiaris, I., (2014). USEMP at MediaEval Placing Task 2014.

Cao, J., Huang, Z., Yang, Y. and Shen, HT., (2014). UQ-DKE's Participation at MediaEval 2014 Placing Task.

Manchon-Vizuete, D., Gris-Sarabia, I. and Giró-i-Nieto, X., (2014). UPC at MediaEval 2014 Social Event Detection Task.

Asooja, K., Ernala, SK. and Buitelaar, P., (2014). UNLP at the MediaEval 2014 C@merata Task.

Coutinho, E., Weninger, F., Schuller, BW. and Scherer, KR., (2014). The Munich LSTM-RNN Approach to the MediaEval 2014 "Emotion in Music'" Task.

Wan, S., (2014). The CLAS System at the MediaEval 2014 C@merata Task.

Sutcliffe, R., Crawford, T., Fox, C., Root, DL. and Hovy, E., (2014). The C@merata Task at MediaEval 2014: Natural Language Queries on Classical Music Scores

Kini, N., (2014). TCSL at the MediaEval 2014 C@merata Task.

Collins, T., (2014). Stravinsqi/De Montfort University at the MediaEval 2014 C@merata Task.

Anguera, X., Rodríguez-Fuentes, LJ., Szöke, I., Buzo, A. and Metze, F., (2014). Query by Example Search on Speech at Mediaeval 2014.

Fradi, H., Yan, Y. and Dugelay, J-L., (2014). Privacy Protection Filter Using Shape and Color Cues.

Spampinato, C. and Palazzo, S., (2014). PeRCeiVe Lab@UNICT at MediaEval 2014 Diverse Images: Random Forests for Diversity-based Clustering.

Badii, A., Ebrahimi, T., Fedorczak, C., Korshunov, P., Piatrik, T., Eiselein, V. and Al-Obaidi, AA., (2014). Overview of the MediaEval 2014 Visual Privacy Task.

Maidín, DÓ., (2014). OMDN at the MediaEval 2014 C@merata Task.

Lam, V., Le, D-D., Phan, S., Satoh, S. and Duong, DA., (2014). NII-UIT at MediaEval 2014 Violent Scenes Detection Affect Task.

Riga, M., Petkos, G., Papadopoulos, S., Schinas, M. and Kompatsiaris, Y., (2014). CERTH @ MediaEval 2014 Social Event Detection Task.

Gînsca, A-L., Popescu, A. and Rekabsaz, N., (2014). CEA LIST's Participation at the MediaEval 2014 Retrieving Diverse Social Images Task.

Szöke, I., Skácel, M. and Burget, L., (2014). BUT QUESST 2014 system description.

Sarac, MI. and Duygulu, P., (2014). Bilkent-RETINA at Retrieving Diverse Social Images Task of MediaEval 2014.

Yang, W., Cai, K., Wu, B., Wang, Y., Chen, X., Yang, D. and Horner, A., (2014). Beatsens' Solution for MediaEval 2014 Emotion in Music Task.

Peñas, A., Hovy, E., Forner, P., Rodrigo, Á., Sutcliffe, R. and Morante, R., (2013). QA4MRE 2011-2013: Overview of Question Answering for Machine Reading Evaluation

Sutcliffe, R., Peñas, A., Hovy, E., Forner, P., Rodrigo, Á., Forascu, C., Benajiba, Y. and Osenova, P., (2013). Overview of QA4MRE main task at CLEF 2013

Peñas, A., Hovy, E., Forner, P., Rodrigo, Á., Sutcliffe, R., Sporleder, C., Forascu, C., Benajiba, Y. and Osenova, P., (2012). Overview of QA4MRE at CLEF 2012: Question Answering for Machine Reading evaluation

Pens, A., Hovy, E., Forner, P., Rodrigo, A., Sutcliffe, R., Forascu, C. and Sporleder, C., (2012). Evaluating machine reading systems through comprehension tests

Slattery, DM. and Sutcliffe, RFE., (2012). Automatic analysis of financial event phrases and keywords in form 8-K disclosures

Peñas, A., Hovy, E., Forner, P., Rodrigo, Á., Sutcliffe, R., Forascu, C. and Sporleder, C., (2011). Overview of QA4MRE at CLEF 2011: Question answering for machine reading evaluation

Sutcliffe, RFE., Kruschwitz, U. and Mandl, T., (2010). Web Logs and Question Answering

Peñas, A., Forner, P., Rodrigo, Á., Sutcliffe, R., Forascu, C. and Mota, C., (2010). Overview of ResPubliQA 2010: Question answering evaluation over European legislation

Peñas, A., Forner, P., Sutcliffe, R., Rodrigo, Á., Forăscu, C., Alegria, I., Giampiccolo, D., Moreau, N. and Osenova, P., (2010). Overview of ResPubliQA 2009: Question Answering Evaluation over European Legislation

Forner, P., Giampiccolo, D., Magnini, B., Peñas, A., Rodrigo, Á. and Sutcliffe, R., (2010). Evaluating multilingual question answering systems at CLEF

Peñas, A., Forner, P., Sutcliffe, R., Rodrigo, Á., Forascu, C., Alegria, I., Giampiccolo, D., Moreau, N. and Osenova, P., (2009). Overview of ResPubliQA 2009: Question answering evaluation over European legislation

Forner, P., Peñas, A., Agirre, E., Alegria, I., Forăscu, C., Moreau, N., Osenova, P., Prokopidis, P., Rocha, P., Sacaleanu, B., Sutcliffe, R. and Tjong Kim Sang, E., (2009). Overview of the Clef 2008 Multilingual Question Answering Track

Forner, P., Peñas, A., Agirre, E., Alegria, I., Forəscu, C., Moreau, N., Osenova, P., Prokopidis, P., Ro-Cha, P., Sacaleanu, B., Sutcliffe, R. and Sang, ETK., (2008). Overview of the CLEF 2008 multilingual Question Answering track

Giampiccolo, D., Forner, P., Herrera, J., Peñas, A., Ayache, C., Forascu, C., Jijkoun, V., Osenova, P., Rocha, P., Sacaleanu, B. and Sutcliffe, R., (2008). Overview of the CLEF 2007 Multilingual Question Answering Track

Sutcliffe, RFE., Steinberger, J., Kruschwitz, U., Alexandrov-Kabadjov, M. and Poesio, M., (2007). Identifying Novel Information Using Latent Semantic Analysis in the WiQA Task at CLEF 2006

Magnini, B., Giampiccolo, D., Forner, P., Ayache, C., Jijkoun, V., Osenova, P., Peñas, A., Rocha, P., Sacaleanu, B. and Sutcliffe, R., (2007). Overview of the CLEF 2006 Multilingual Question Answering Track

Giampiccolo, D., Peñas, A., Ayache, C., Cristea, D., Forner, P., Jijkoun, V., Osenova, P., Rocha, P., Sacaleanu, B. and Sutcliffe, R., (2007). Overview of the CLEF 2007 multilingual question answering track

Sutcliffe, RFE., Steinberger, J., Kruschwitz, U., Alexandrov-Kabadjov, M. and Poesio, M., (2006). Identifying novel information using Latent Semantic Analysis in the WiQA task at CLEF 2006

Sutcliffe, RFE., White, K., Slattery, D., Gabbay, I. and Mulcahy, M., (2006). Cross-language French-English question answering using the DLT system at CLEF 2006

Sutcliffe, RFE., Mulcahy, M., Gabbay, I., O’Gorman, A. and Slattery, D., (2006). Cross-Language French-English Question Answering Using the DLT System at CLEF 2005

Vallin, A., Magnini, B., Giampiccolo, D., Aunimo, L., Ayache, C., Osenova, P., Peñas, A., de Rijke, M., Sacaleanu, B., Santos, D. and Sutcliffe, R., (2006). Overview of the CLEF 2005 Multilingual Question Answering Track

Magnini, B., Giampiccolo, D., Forner, P., Ayache, C., Jijkoun, V., Osenova, P., Peñas, A., Rocha, P., Sacaleanu, B. and Sutcliffe, RFE., (2006). Overview of the CLEF 2006 Multilingual Question Answering Track.

Magnini, B., Giampiccolo, D., Aunimo, L., Ayache, C., Osenova, P., Peñas, A., De Rijke, M., Sacaleanu, B., Santos, D. and Sutcliffe, R., (2006). The multilingual question answering track at CLEF

Magnini, B., Giampiccolo, D., Aunimo, L., Ayache, C., Osenova, P., Peñas, A., De Rijke, M., Sacaleanu, B., Santos, D. and Sutcliffe, R., (2006). The multilingual question answering track at CLEF

Peñas, A. and Sutcliffe, R., (2006). Preface

Sutcliffe, RFE., White, K., Gabbay, I. and Mulcahy, M., (2006). Question answering using the DLT system at TREC 2006

Magnini, B., Giampiccolo, D., Forner, P., Ayache, C., Jijkoun, V., Osenova, P., Peñas, A., Rocha, P., Sacaleanu, B. and Sutcliffe, R., (2006). Over view of the CLEF 2006 multilingual question answering track

Sutcliffe, RFE., Mulcahy, M., White, K., Gabbay, I. and O'Gorman, A., (2005). Question answering using the DLT system at TREC 2005

Mulcahy, M., White, K., Gabbay, I., O'Gorman, A. and Sutcliffe, RFE., (2005). Question Answering Using the DLT System at TREC 2005.

Sutcliffe, RFE., Mulcahy, M., Gabbay, I., O'Gorman, A., White, K. and Slattery, D., (2005). Cross-language french-english question answering using the DLT System at CLEF 2005

Sutcliffe, RFE., Gabbay, I., Mulcahy, M. and O’Gorman, A., (2005). Cross-Language French-English Question Answering Using the DLT System at CLEF 2004

Sutcliffe, RFE., Mulcahy, M., Gabbay, I., O'Gorman, A. and Slattery, D., (2005). Cross-Language French-English Question Answering Using the DLT System at CLEF 2005.

Vallin, A., Magnini, B., Giampiccolo, D., Aunimo, L., Ayache, C., Osenova, P., Peñas, A., Rijke, MD., Sacaleanu, B., Santos, D. and Sutcliffe, RFE., (2005). Overview of the CLEF 2005 Multilingual Question Answering Track.

Magnini, B., Vallin, A., Ayache, C., Erbach, G., Peñas, A., de Rijke, M., Rocha, P., Simov, K. and Sutcliffe, R., (2005). Overview of the CLEF 2004 Multilingual Question Answering Track

Sutcliffe, RFE., Xu, J. and Mulcahy, M., (2005). Chinese Question Answering using the DLT System at NTCIR 2005.

Sutcliffe, RFE., Gabbay, I., Mulcahy, M. and O'Gorman, A., (2004). Cross-language French-English question answering using the DLT system at CLEF 2004

Magnini, B., Vallin, A., Ayache, C., Erbach, G., Peñas, A., De Rijke, M., Rocha, P., Simov, K. and Sutcliffe, R., (2004). Overview of the CLEF 2004 multilingual question answering track

Sutcliffe, RFE., Gabbay, I. and O’Gorman, A., (2004). Cross-Language French-English Question Answering Using the DLT System at CLEF 2003

Sutcliffe, RFE., Gabbay, I., White, K., O'Gorman, A. and Mulcahy, M., (2004). Question Answering Using the DLT System at TREC 2004.

Sutcliffe, RFE., Gabbay, I. and O'Gorman, A., (2003). Cross-language french-english question answering using the DLT system at CLEF 2003

Sutcliffe, RFE., Gabbay, I., Mulcahy, M. and White, K., (2003). Question Answering using the DLT System at TREC 2003.

Sutcliffe, RFE. and White, K., (2002). The Feasibility of Machine Learning for Query Answering — An Experiment in Two Domains

Sutcliffe, RFE. and White, K., (2002). Searching via keywords or concept hierarchies - Which is better?

Costello, FJ., (2002). How People Compare an Item's Placement in Two Alternative Categories.

Pereira, FB., Tavares, J., Machado, P. and Costa, E., (2002). GVR: A New Genetic Representation for the Vehicle Routing Problem.

Brabazon, A., (2002). Financial Time Series Modelling Using Neural Networks: An Assessment of the Utility of a Stacking Methodology.

Bridge, DG. and Kelleher, J., (2002). Experiments in Sparsity Reduction: Using Clustering in Collaborative Recommenders.

McGinty, L. and Smyth, B., (2002). Evaluating Preference-Based Feedback in Recommender Systems.

McGrath, D., (2002). Design of a Musical Instrument Classifier System Based on Mel Scaled Cepstral Coefficient Supervectors and a Supervised Two-Layer Feedforward Neural Network.

Smyth, B., Wilson, DC. and O'Sullivan, D., (2002). Data Mining Support for Case-Based Collaborative Recommendation.

Medori, J., Atwell, E., Gent, P. and Souter, C., (2002). Customising a Copying-Identifier for Biomedical Science Student Reports: Comparing Simple and Smart Analyses.

Gomes, P., Pereira, FC., Seco, N., Paiva, P., Carreiro, P., Ferreira, JL. and Bento, C., (2002). Combining Case-Based Reasoning and Analogical Reasoning in Software Design.

Buckeridge, AM. and Sutcliffe, RFE., (2002). Using Latent Semantic Indexing as a Measure of Conceptual Association for Noun Compound Disambiguation

O’Neill, M., Sutcliffe, RFE., Ryan, C., Eaton, M. and Griffith, NJL., (2002). Artificial Intelligence and Cognitive Science: 13th Irish Conference, AICS 2002 Limerick, Ireland, September 12-13, 2002 Proceedings

Sutcliffe, RFE. and Kurohashit, S., (2000). A parallel English-Japanese query collection for the evaluation of on-line help systems

Sutcliffe, RFE., O'Sullivan, D. and Meharg, F., (1994). A Lexicon Of Distributed Noun Representations Constructed By Taxonomic Traversal.

Sutcliffe, RFE., McElligott, A. and O’Neill, G., (1993). Translation between Irish and English by mapping between monolingual machine readable dictionaries using distributed representations

Sutcliffe, RFE., McElligott, A. and Nȩill, G., (1993). Using Distributed Patterns as Language Independent Lexical Representations

Sutcliffe, RFE., (1991). Distributed representations in a text based information retrieval system

Sharkey, NE., Sutcliffe, RFE. and Wobcke, WR., (1986). Mixing Binary and Continuous Connection Schemes for Knowledge Access

Reports and Papers (3)

Sutcliffe, R., (2023). A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots

Mhamed, M., Sutcliffe, R., Sun, X., Feng, J., Almekhlafi, E. and Retta, EA., (2022). A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets

Retta, EA., Sutcliffe, R., Almekhlafi, E., Enku, YK., Alemu, E., Gemechu, TD., Berwo, MA., Mhamed, M. and Feng, J., (2022). Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark

Grants and funding

2018

IAA ECC Challenge Lab project - Self service

University of Essex

IAA ECC Challenge Lab project - Self service

University of Essex

2017

To embed a NLP capability in Objective IT

Innovate UK (formerly Technology Strategy Board)

Contact

rsutcl@essex.ac.uk

Location:

4B.527, Colchester Campus

Academic support hours:

Academic Support Hours: Monday 14:00-15:00, Thursday 12:00-13:00