Dr Richard Sutcliffe

-
Email
rsutcl@essex.ac.uk -
Location
4B.527, Colchester Campus
-
Academic support hours
Academic Support Hour: Tuesday 11:00-12:00
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 1879 citations on Google Scholar: https://scholar.google.com/citations?hl=en&user=LqjaP10AAAAJ&view_op=list_works&sortby=pubdate Recent work has focused on Sentiment and Personality, in text, speech and music audio. He is available to supervise Ph.D. work in these 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. 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]. 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. [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
Information Retrieval
Question Answering
Computer Musicology
Teaching and supervision
Current teaching responsibilities
-
Information Retrieval (CE306)
-
Information Retrieval (CE706)
Previous supervision

Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 16/9/2022
Publications
Publications (2)
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
Sutcliffe, R., (2023). A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots
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
Sutcliffe, RFE., (2024). A Survey of Personality, Persona, and Profile in Conversational Agents and Chatbots.. CoRR. abs/2401.00609
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. abs/2201.12664
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
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
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
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., 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., (2002). Preface
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 (45)
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
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
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
Peñas, A. and Sutcliffe, R., (2006). Preface
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., 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. and O'Gorman, A., (2003). Cross-language french-english question answering using the DLT system at CLEF 2003
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)
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
Retta, EA., Almekhlafi, E., Sutcliffe, R., Mhamed, M., Ali, H. and Feng, J., (2022). A New Amharic Speech Emotion Dataset and Classification 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
Academic support hours:
Academic Support Hour: Tuesday 11:00-12:00