2026

• A Meghanani, T Hain (2026). Position-Invariant Fine-Tuning of Speech Enhancement Models With Self-Supervised Speech Representations. Proceedings of ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2026.

• M Williams, G Chrysostomou, V Jeronymo, N Aletras (2026). Compressing Language Models for Specialized Domains. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026), Rabat, Morocco, March 24-29 2026.

• A Hughes, V Duddu, N Asokan, N Aletras, N Ma (2026). PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing. Findings of the Association for Computational Linguistics: EACL 2026, Rabat, Morocco, March 24-29 2026.

• S Alabed et al. including A Hughes (2026). Large Language Models to Improve Understanding of Radiology Reports. The Lancet Digital Health.

• Wu et al. including T Loakman (2026). COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. Findings of the Association for Computational Linguistics: EACL 2026, Rabat, Morocco, March 24-29 2026.

• R Mogridge, A Ragni (2026). Minerva 2 for speech and language tasks. Computer Speech & Language, Volume 95. https://doi.org/10.1016/j.csl.2025.101843.

2025

• Y El Kheir, A Meghanani, et al. (2025). Iqra'Eval: A Shared Task on Qur'anic Pronunciation Assessment. Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks, pages 443–452, Suzhou, China.

• A Alajrami, X Tan, N Aletras (2025). Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance. Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025), Mumbai, India, December 20-24 2025.

• T Loakman, J James, C Lin (2025). Seeing isn't Hearing: Benchmarking Vision Language Models at Interpreting Spectrograms. Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025), Mumbai, India, December 20-24 2025.

• M Cross, A Ragni (2025). Flowing Straighter with Conditional Flow Matching for Accurate Speech Enhancement. Proceedings of the 2nd ECAI Workshop on Machine Learning Meets Differential Equations: From Theory to Applications, PMLR 277:121-132, 2025.

• S Cassini, T Hain, A Ragni (2025). Emphasis Sensitivity in Speech Representations. Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU 2025), Honolulu, Hawaii, USA, December 6-10, 2025.

• T Loakman, W Thorne, C Lin (2025). Who's Laughing Now? An Overview of Computational Humour Generation and Explanation. Proceedings of the 18th International Natural Language Generation Conference (INLG), Hanoi, Vietnam, October 29 to November 2, 2025. Association for Computational Linguistics.

• T Loakman, W Thorne, C Lin (2025). Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes. Findings of the Association for Computational Linguistics: EMNLP 2025, Suzhou, China, November 5-9 2025.

• A Hughes, N Ma, N Aletras (2025). How Private are Language Models in Abstractive Summarization?. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 30112–30130, Suzhou, China.

• Y Wang, C Xiao, C-Y Hsiao, ZY Chang, C-L Chen, T Loakman, C Lin (2025). Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 23074–23096, Suzhou, China.

• M Mi, A Villavicencio, NS Moosavi (2025). From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 34328–34341, Suzhou, China.

• W Leung, H Christensen, S Goetze (2025). Text-to-Dysarthric-Speech Generation for Dysarthric Automatic Speech Recognition: Is Purely Synthetic Data Enough?. Proceedings of the 27th International Conference on Speech and Computer (SPECOM-2025), October 13-15, 2025, Szeged, Hungary.

• G Close, K Hong, T Hain, S Goetze (2025). WhiSQA: Non-Intrusive Speech Quality Prediction Using Whisper Encoder Features. Proceedings of the 27th International Conference on Speech and Computer (SPECOM-2025), October 13-15, 2025, Szeged, Hungary.

• G Huang, RK Moore (2025). Adaptive Affordance Design for Social Robots: Tailoring to Role-Specific Preferences. Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Melbourne, Australia, 2025, pp. 580-588, doi: 10.1109/HRI61500.2025.10974246.

• T Pickard, A Villavicencio, M Mi, et al. (2025). SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation. Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2597–2609, Vienna, Austria.

• J Clarke, Y Gotoh, S Goetze (2025). Face-Voice Association for Audiovisual Active Speaker Detection in Egocentric Recordings. Proceedings of the 33rd European Signal Processing Conference (EUSIPCO), September 8-12, 2025, Palermo, Italy.

• T Loakman, C Tang, C Lin (2025). Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases. Computational Linguistics, 51 (2): pp. 415-466. https://doi.org/10.1162/coli_a_00544.

• AHA Fletcher, M Stevenson (2025). Predicting retracted research: a dataset and machine learning approaches. Research Integrity and Peer Review, 10:9, https://doi.org/10.1186/s41073-025-00168-w.

• M Mi, A Villavicencio, NS Moosavi (2025). Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp Context. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 7314–7332, Vienna, Austria.

• J Chan, R Gaizauskas, Z Zhao (2025). RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning. Proceedings of the Forty-Second International Conference on Machine Learning (ICML), Vancouver, Canada, 13-19 July 2025.

• F Peters et al. (2025). Automatic Detection and Sub-typing of Primary Progressive Aphasia from Speech: Integrating Task-Specific Features and Spatio-Semantic Graphs. Proceedings of Interspeech 2025, Rotterdam, The Netherlands, August 17-21, 2025.

• Y Xiao, H Christensen, S Goetze (2025). Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models. Proceedings of Interspeech 2025, Rotterdam, The Netherlands, August 17-21, 2025.

• Y El Kheir, O Ibrahim, A Meghanani, et al. (2025). Towards a Unified Benchmark for Arabic Pronunciation Assessment: Qur’anic Recitation as Case Study. Proceedings of Interspeech 2025, Rotterdam, The Netherlands, August 17-21, 2025.

• F Tao et al. including Y Xiao, F Peters (2025). Early Dementia Detection Using Multiple Spontaneous Speech Prompts: The PROCESS Challenge,. Proceedings of ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-2, doi: 10.1109/ICASSP49660.2025.10889017.

• O De Gibert et al. including E Gow-Smith (2025). Findings of the AmericasNLP 2025 Shared Tasks on Machine Translation, Creation of Educational Material, and Translation Metrics for Indigenous Languages of the Americas. Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP), pages 134–152, Albuquerque, New Mexico.

• J Rowe, E Gow-Smith, M Hepple (2025). Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole. Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025), pages 183–200, Albuquerque, New Mexico, U.S.A..

• P Gering, RK Moore, H Christensen (2025). Predicting Interaction Quality from Spoken Dialogue. Proceedings of the UK and Ireland Speech Workshop 2025 (UKIS 2025), University of York, UK, 16-17 June 2025.

• M Cross, A Ragni (2025). Simple One-Step Flow-Matching and Schrödinger Bridges for Speech Enhancement. Proceedings of the UK and Ireland Speech Workshop 2025 (UKIS 2025), University of York, UK, 16-17 June 2025.

• A Ross, C Hughes, EL Ungless, C Lai (2025). Conveying gender through speech: insights from trans men. Proceedings of the UK and Ireland Speech Workshop 2025 (UKIS 2025), University of York, UK, 16-17 June 2025.

• A Meghanani, T Hain (2025). Cost-Effective Fine-Tuning for Noise-Robust Speech Representations. Proceedings of the UK and Ireland Speech Workshop 2025 (UKIS 2025), University of York, UK, 16-17 June 2025.

• M Williams, N Aletras (2025). Vocabulary-level Memory Efficiency for Language Model Fine-tuning. Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP-2025), pages 185–196, Albuquerque, NM.

• M Williams, G Chrysostomou, N Aletras (2025). Self-calibration for Language Model Quantization and Pruning. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 10149–10167, Albuquerque, New Mexico.

• T Goldsack, Y Wang, C Lin, C Chen (2025). From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls. Proceedings of the 31st International Conference on Computational Linguistics, pages 10576–10593, Abu Dhabi, UAE.

• JA Sivakumar, NS Moosavi (2025). How to Leverage Digit Embeddings to Represent Numbers?. Proceedings of the 31st International Conference on Computational Linguistics, pages 7685–7697, Abu Dhabi, UAE.

2024

• M Cross, A Ragni (2024). What happens to diffusion model likelihood when your model is conditional?. Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", PMLR 255:1-14, 2024.

• M Hewitt, H Cunningham, H. (2024). Towards Privacy-Preserving Voice Control in Smart Home IoT: A Taxonomy. Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). UCAmI 2024. Lecture Notes in Networks and Systems, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-031-77571-0_58.

• M Gibbons, M Mi, X Song, A Villavicencio (2024). ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification. Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1860–1867, Mexico City, Mexico.

• C Tang, H Zhang, T Loakman, B Yang, S Goetze, C Lin (2024). CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. Proceedings of the 17th International Natural Language Generation Conference, pages 371–383, Tokyo, Japan.

• F Maikore, S Mazumdar, A Offiah, A Hughes, S Roychowdhury, K Hocking, V Lanfranchi (2024). Understanding Inflicted Injuries in Young Children: Toward an Ontology-based Approach. Proceedings of Knowledge Engineering and Knowledge Management. EKAW 2024. Lecture Notes in Computer Science(), vol 15370. Springer, Cham. https://doi.org/10.1007/978-3-031-77792-9_16.

• J James, C Xiao, Y Li, C Lin (2024). On the Rigour of Scientific Writing: Criteria, Analysis, and Insights. Findings of the Association for Computational Linguistics: EMNLP 2024, pages 6523–6538, Miami, Florida, USA.

• G Chrysostomou, Z Zhao, M Williams, N Aletras (2024). Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization. Transactions of the Association for Computational Linguistics, 12:1163–1181. doi: https://doi.org/10.1162/tacl_a_00695.

• T Loakman, Y Li, C Lin (2024). With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 2849–2867, Miami, Florida, USA.

• S Wang, G Zhang, H Wu, T Loakman, W Huang, C Lin (2024). MMTE: Corpus and Metrics for Evaluating Machine Translation Quality for Metaphorical Language. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 11343–11358, Miami, Florida, USA.

• J Clayton, M Damonte, R Gaizauskas (2024). Parsing Graphical Summaries from Argumentative Dialogues. Proceedings of Computational Models of Argument (COMMA) 2024, Hagen, Germany, September 18-20, 2024. Frontiers in Artificial Intelligence and Applications 388:37-48, IOS Press. doi.org/10.3233/FAIA240308.

• E Gow-Smith, D Phelps, H Tayyar Madabushi, C Scarton, A Villavicencio (2024). Word Boundary Information Isn't Useful for Encoder Language Models. Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024), pages 118–135, Bangkok, Thailand.

• R Flynn, A Ragni (2024). Self-Train Before You Transcribe. Proceedings of Interspeech 2024, 2840-2844, doi: 10.21437/Interspeech.2024-858.

• R Flynn, A Ragni (2024). How Much Context Does My Attention-Based ASR System Need?. Proceedings of Interspeech 2024, 217-221, doi: 10.21437/Interspeech.2024-870.

• W Ravenscroft, G Close, S Goetze, T Hain, M Soleymanpur, A Chowdury, M Fuhs (2024). Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition. Proceedings of Interspeech 2024, 4998-5002, doi: 10.21437/Interspeech.2024-1264.

• C Hughes, N Ma, N Dibben, G Brown (2024). Acoustic Effects of Facial Feminisation Surgery on Speech and Singing: A Case Study. Proceedings of Interspeech 2024, 3065-3069, doi: 10.21437/Interspeech.2024-1132.

• W Leung, M Cross, A Ragni, S Goetze (2024). Training Data Augmentation for Dysarthric Automatic Speech Recognition by Text-to-Dysarthric-Speech Synthesis. Proceedings of Interspeech 2024, 2494-2498, doi: 10.21437/Interspeech.2024-1645.

• R Mogridge, A Ragni (2024). Learning from memory-based models. Proceedings of Interspeech 2024, 2360-2364, doi: 10.21437/Interspeech.2024-1628.

• A Meghanani, T Hain (2024). LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks. Proceedings of Interspeech 2024, 2835-2839, doi: 10.21437/Interspeech.2024-1824.

• R Sutherland, G Close, T Hain, S Goetze, J Barker (2024). Using Speech Foundational Models in Loss Functions for Hearing Aid Speech. Proceedings of the 32nd European Signal Processing Conference (EUSIPCO) 2024, 26 - 30 August 2024, Lyon, France.

• G Close, T Hain, S Goetze (2024). Hallucination in Perceptual Metric-Driven Speech Enhancement Networks. Proceedings of the 32nd European Signal Processing Conference (EUSIPCO) 2024, 26 - 30 August 2024, Lyon, France.

• D Phelps, T Pickard, M Mi, E Gow-Smith, A Villavicencio (2024). Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection. Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024, pages 178–187, Torino, Italia. ELRA and ICCL. Winner of the Best Paper Award.

• Z Zhang, T Goldsack, C Scarton, C Lin (2024). ATLAS: Improving Lay Summarisation with Attribute-based Control. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 337–345, Bangkok, Thailand.

• M Williams, N Aletras (2024). On the Impact of Calibration Data in Post-training Quantization and Pruning. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 10100–10118, Bangkok, Thailand.

• T Loakman, C Lin (2024). ReproHum #0087-01: Human Evaluation Reproduction Report for "Generating Fact-Checking Explanations". Proceedings of the Fourth Workshop on Human Evaluation of NLP Systems (HumEval) @ LREC-COLING 2024, pages 255–260, Torino, Italia. ELRA and ICCL.

• C Tang, T Loakman, C Lin (2024). A cross-attention augmented model for event-triggered context-aware story generation. Computer Speech & Language, Volume 88, ISSN 0885-2308, https://doi.org/10.1016/j.csl.2024.101662.

• S Hollands, H Schmueck (2024). Towards a pipeline approach to corpus compilation: Challenges and solutions. Proceedings of the 45th Annual Conference of the International Computer Archive of Modern and Medieval English, Vigo, Spain, 18-22 June 2024.

• G Huang, RK Moore (2024). Freedom Comes at a Cost?: An Exploratory Study on Affordances' Impact on Users' Perception of a Social Robot. Frontiers in Robotics and AI: Human-Robot Interaction Volume 11. doi: 10.3389/frobt.2024.1288818.

• A Hughes, X Song (2024). Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 8580–8593, Torino, Italia. ELRA and ICCL.

• D Sánchez Villegas, D Preoţiuc-Pietro, N Aletras (2024). Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary tasks. Findings of the Association for Computational Linguistics: EACL 2024, pages 1126–1137, St. Julian’s, Malta.

• A Meghanani, T Hain (2024). Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1959–1967, St. Julian’s, Malta.

• A Meghanani, T Hain (2024). SCORE: Self-Supervised Correspondence Fine-Tuning For Improved Content Representations. Proceedings of ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 12086-12090, doi: 10.1109/ICASSP48485.2024.10448060.

• W Ravenscroft, S Goetze, T Hain (2024). Combining Conformer and Dual-Path-Transformer Networks for Single Channel Noisy Reverberant Speech Separation. Proceedings of ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 11491-11495, doi: 10.1109/ICASSP48485.2024.10447644.

• G Close, W Ravenscroft, T Hain, S Goetze (2024). MULTI-CMGAN+/+: Leveraging Multi-Objective Speech Quality Metric Prediction For Speech Enhancement. Proceedings of ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 351-355, doi: 10.1109/ICASSP48485.2024.10448343.

• R Mogridge, G Close, R Sutherland, T Hain, J Barker, S Goetze, A Ragni (2024). Non-Intrusive Speech Intelligibility Prediction For Hearing-Impaired Users Using Intermediate ASR Features And Human Memory Models. Proceedings of ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 306-310, doi: 10.1109/ICASSP48485.2024.10447597.

• H Yusufali, RK Moore, S Goetze (2024). Refining Text Input For Augmentative And Alternative Communication (AAC) Devices: Analysing Language Model Layers For Optimisation. Proceedings of ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 12016-12020, doi: 10.1109/ICASSP48485.2024.10446094.

• T Goldsack, C Scarton, M Shardlow, C Lin (2024). Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles. Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, pages 122–131, Bangkok, Thailand.

• S Vincent, C Prescott, C Bayliss, C Oakley, C Scarton (2024). A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling. Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), pages 561–572, Sheffield, UK. European Association for Machine Translation (EAMT).

• A Knietaite et al. including T Pickard (2024). Is Less More? Quality, Quantity and Context in Idiom Processing with Natural Language Models. Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD 2024), LREC-COLING 2024, Torino, Italia, May 25, 2024.

• S Vincent, R Sumner, A Dowek, C Prescott, E Preston, C Bayliss, C Oakley, C Scarton (2024). Reference-less Analysis of Context Specificity in Translation with Personalised Language Models. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 13769–13784, Torino, Italia. ELRA and ICCL.

2023

• R Mogridge, G Close, R Sutherland, S Goetze, A Ragni (2023). Pre-Trained Intermediate ASR Features and Human Memory Simulation for Non-Intrusive Speech Intelligibility Prediction in the Clarity Prediction Challenge 2. Proceedings of the 4th Clarity Workshop on Machine Learning Challenges for Hearing Aids (Clarity-2023), Interspeech 2023.

• G Huang, RK Moore (2023). One Size Does Not Fit All: Personalised Affordance Design for Social Robots. Proceedings of the CONCATENATE workshop at HRI23, Stockholm, Sweden.

• Förster et al. incl. G Huang (2023). Working with troubles and failures in conversation between humans and robots: workshop report. Frontiers in Robotics and AI, Volume 10, December 2023. https://doi.org/10.3389/frobt.2023.1202306.

• M Mi (2023). Mmi01 at The BabyLM Challenge: Linguistically Motivated Curriculum Learning for Pretraining in Low-Resource Settings. Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning, pages 269–278, Singapore.

• G Close, W Ravenscroft, T Hain, S Goetze (2023). The University of Sheffield CHiME-7 UDASE Challenge Speech Enhancement System. Proceedings of the CHiME-2023 Workshop (25 August 2023), a satellite workshop of INTERSPEECH 2023, Dublin, Ireland, 20-24 August 2023.

• A Alajrami, K Margatina, N Aletras (2023). Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 9085–9108, Singapore.

• T Loakman, A Maladry, C Lin (2023). The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation. Findings of the Association for Computational Linguistics: EMNLP 2023, pages 6676–6689, Singapore.

• T Goldsack, Z Zhang, C Tang, C Scarton, C Lin (2023). Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 8016–8032, Singapore.

• C Tang, S Wang, T Goldsack, C Lin (2023). Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 606–618, Singapore.

• J Clarke, Y Gotoh, S Goetze (2023). Improving Audiovisual Active Speaker Detection in Egocentric Recordings with the Data-efficient Image Transformer. Proceedings of the 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Taipei, Taiwan, 2023, pp. 1-8, doi: 10.1109/ASRU57964.2023.10389764.

• A Meghanani, T Hain (2023). Deriving Translational Acoustic Sub-word Embeddings. Proceedings of the 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Taipei, Taiwan, 2023, pp. 1-8, doi: 10.1109/ASRU57964.2023.10389747.

• W Ravenscroft, S Goetze, T Hain (2023). On Time Domain Conformer Models for Monaural Speech Separation in Noisy Reverberant Acoustic Environments. Proceedings of the 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Taipei, Taiwan, 2023, pp. 1-7, doi: 10.1109/ASRU57964.2023.10389669.

• D Sánchez Villegas, C Goanta, N Aletras (2023). A Multimodal Analysis of Influencer Content on Twitter. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 225–240, Nusa Dua, Bali.

• P Vickers, L Barrault, E Monti, N Aletras (2023). We Need to Talk About Classification Evaluation Metrics in NLP. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 498–510, Nusa Dua, Bali.

• R Flynn, A Ragni (2023). Leveraging Cross-Utterance Context For ASR Decoding. Proceedings of Interspeech 2023, 1359-1363, doi: 10.21437/Interspeech.2023-1941.

• S Vincent, R Flynn, C Scarton (2023). MTCUE: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation. Findings of the Association for Computational Linguistics: ACL 2023, pages 8210–8226, Toronto, Canada.

• G Huang, RK Moore (2023). Using social robots for language learning: are we there yet?. Journal of China Computer-Assisted Language Learning, Jul 10;3(1):208–230. doi: 10.1515/jccall-2023-0013.

• T Goldsack, Z Lou, Q Xie, C Scarton, M Shardlow, S Ananiadou, C Lin (2023). Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 468–477, Toronto, Canada.

• E Gow-Smith, D Sánchez Villegas (2023). Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages. Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP), pages 192–199, Toronto, Canada.

• JA Sivakumar, NS Moosavi (2023). FERMAT: An Alternative to Accuracy for Numerical Reasoning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15026–15043, Toronto, Canada.

• S Cao, S Goetze, J Barker (2023). A Study on Microphone Array Position Calibration for Hearing Aids. Proceedings of the UK Speech Workshop 2023, Sheffield, UK, June 14-15 2023.

• W Ravenscroft, S Goetze, T Hain (2023). On Data Sampling Strategies for Training Neural Network Speech Separation Models. Proceedings of the 31st European Signal Processing Conference (EUSIPCO 2023), Helsinki, Finland.

• H Yusufali, S Goetze, RK Moore (2023). Bridging the Communication Rate Gap: Enhancing Text Input for Augmentative and Alternative Communication (AAC). Proceedings of the 25th International Conference on Human-Computer Interaction (HCII) 2023, Copenhagen Denmark.

• G Close, T Hain, S Goetze (2023). PAMGAN+/-: Improving Phase-Aware Speech Enhancement Performance via Expanded Discriminator Training. Proceedings of the 154th Audio Engineering Society (AES) Convention, Espoo, Helsinki, Finland, May 13-15, 2023. Winner of the Student Technical Paper Award.

• T Loakman, C Tang, C Lin (2023). TwistList: Resources and Baselines for Tongue Twister Generation. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 579–589, Toronto, Canada.

• C Tang, H Zhang, T Loakman, C Lin, F Guerin (2023). Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 4604–4616, Toronto, Canada.

• T Pickard, T Loakman, M Pandya (2023). shefnlp at SemEval-2023 Task 10: Compute-Efficient Category Adapters. Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 1069–1075, Toronto, Canada.

• A Savary, et al. including T Pickard (2023). PARSEME corpus release 1.3. Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023), pages 24–35, Dubrovnik, Croatia.

• M Thomas, S Hollands, D Blackburn, H Christensen (2023). Towards disfluency features for speech technology based automatic dementia classification. Proceedings of the 20th International Congress of the Phonetic Sciences (ICPhS 2023), Prague Congress Centre, Czech Republic, 7-11 August 2023.

• M Thomas, N Pevy, T Walker (2023). Disfluencies and Cognitive Decline: An Investigative Study. Proceedings of the biennial symposium of the International Clinical Phonetics and Linguistics Association (ICPLA), University of Salzburg, 4-7 July 2023.

• M Hewitt, T Rodríguez Muñoz, G Huang (2023). Melodica: An Affordable Music Companion. Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI '23). Association for Computing Machinery, New York, NY, USA, 806–809. https://doi.org/10.1145/3568294.3580188.

• C Tang, H Zhang, T Loakman, C Lin, F Guerin (2023). Terminology-aware Medical Dialogue Generation. Proceedings of ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095697.

• S Ellis, S Goetze, H Christensen (2023). Moving Towards Non-Binary Gender Identification Via Analysis of System Errors in Binary Gender Classification. Proceedings of ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095997.

• W Ravenscroft, S Goetze, T Hain (2023). Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation. Proceedings of ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095230.

• G Close, W Ravenscroft, T Hain, S Goetze (2023). Perceive and predict: self-supervised speech representation based loss functions for speech enhancement. Proceedings of ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095666.

• T Goldsack, Z Zhang, C Lin, C Scarton (2023). Domain-driven and Discourse-guided Scientific Summarisation. Proceedings of the 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part I. Springer-Verlag, Berlin, Heidelberg, 361–376. https://doi.org/10.1007/978-3-031-28244-7_23.

• G Close, T Hain, S Goetze (2023). The Effect of Spoken Language on Speech Enhancement Using Self-Supervised Speech Representation Loss Functions. Proceedings of the 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, 2023, pp. 1-5, doi: 10.1109/WASPAA58266.2023.10248166.

• G Close, T Hain, S Goetze (2023). Non-Intrusive Speech Intelligibility Prediction for Hearing Impaired Individuals using Self-Supervised Speech Representations. Proceedings of the Workshop on Speech Foundation Models and their Performance Benchmarks (SPARKS), 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2023), 16-20 December 2023, Taipei, Taiwan.

• E Gow-Smith, A Berard, MZ Boito, I Calapodescu (2023). NAVER LABS Europe’s Multilingual Speech Translation Systems for the IWSLT 2023 Low-Resource Track. Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), pages 144–158, Toronto, Canada.

2022

• J Clayton, R Gaizauskas (2022). Predicting the Presence of Reasoning Markers in Argumentative Text. Proceedings of the 9th Workshop on Argument Mining, pages 137–142, Online and in Gyeongju, Republic of Korea.

• E Gow-Smith, H Tayyar Madabushi, C Scarton, A Villavicencio (2022). Improving Tokenisation by Alternative Treatment of Spaces. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11430–11443, Abu Dhabi, United Arab Emirates.

• T Goldsack, Z Zhang, C Lin, C Scarton (2022). Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 10589–10604, Abu Dhabi, United Arab Emirates.

• H Huang, C Tang, T Loakman, F Guerin, C Lin (2022). Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 178–185.

• C Tang, Z Zhang, T Loakman, C Lin, F Guerin (2022). NGEP: A Graph-based Event Planning Framework for Story Generation. Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 186–193.

• G Huang, RK Moore (2022). Is honesty the best policy for mismatched partners? Aligning multi-modal affordances of a social robot: An opinion paper. Frontiers in Virtual Reality, Volume 3, 16 September 2022, doi:10.3389/frvir.2022.1020169.

• T Rodríguez Muñoz, E Ip, G Huang, R K Moore (2022). Interactivism in Spoken Dialogue Systems. Proceedings of the 26th Workshop on the Semantics and Pragmatics of Dialogue (SemDial 2022), August, 22-24, 2022, Dublin, pp 263-265.

• W Ravenscroft, S Goetze, T Hain (2022). Utterance Weighted Multi-Dilation Temporal Convolution Networks for Monaural Speech Dereverberation. Proceedings of the 17th International Workshop on Acoustic Signal Enhancement (IWAENC 2022), Bamberg, Germany.

• S Hollands, D Blackburn, H Christensen (2022). Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation. Proceedings of Interspeech 2022, 3958-3962, doi: 10.21437/Interspeech.2022-10433.

• G Close, S Hollands, S Goetze, T Hain (2022). Non-intrusive Speech Intelligibility Metric Prediction for Hearing Impaired Individuals. Proceedings of Interspeech 2022, 3483-3487, doi: 10.21437/Interspeech.2022-10182.

• S Vincent, L Barrault, C Scarton (2022). Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation. Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 121–130, Ghent, Belgium.

• S Vincent, L Barrault, C Scarton (2022). Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022. Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022), pages 341–350, Dublin, Ireland.

• G Close, T Hain, S Goetze (2022). MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data. Proceedings of 30th European Signal Processing Conference (EUSIPCO 2022), 29 Aug - 02 Sep 2022, Belgrade, Serbia, pp. 165-169. ISBN 9781665467995.

• W Ravenscroft, S Goetze, T Hain (2022). Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation. Proceedings of 30th European Signal Processing Conference (EUSIPCO 2022), 29 Aug - 02 Sep 2022, Belgrade, Serbia, pp. 80-84. ISBN 9781665467995.

• X Ao, D Sánchez Villegas, D Preoţiuc-Pietro, N Aletras (2022). Combining Humor and Sarcasm for Improving Political Parody Detection. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1800–1807, Seattle, United States.

• TAF Green, D Maynard, C Lin (2022). Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions. Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1201–1208, Marseille, France.

• H Tayyar Madabushi, E Gow-Smith, M Garcia, C Scarton, M Idiart, A Villavicencio (2022). SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding. Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 107–121, Seattle, United States.

• W Ravenscroft, S Goetze, T Hain (2022). Att-TasNet: Attending to Encodings in Time-Domain Audio Speech Separation of Noisy, Reverberant Speech Mixtures. Frontiers in Signal Processing, Volume 2 - 2022, doi:10.3389/frsip.2022.856968.

• A Alajrami, N Aletras (2022). How does the pre-training objective affect what large language models learn about linguistic properties?. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 131–147, Dublin, Ireland.

• M Thomas (2022). Speech and the Effects of the Comorbidity of Depression and MCI. Proceedings of Sheffield Dementia Conference 2022.

2021

• H Tayyar Madabushi, E Gow-Smith, C Scarton, A Villavicencio (2021). AStitchInLanguageModels: Dataset and methods for the exploration of idiomaticity in pre-trained language models. Findings of the Association for Computational Linguistics: EMNLP 2021, pages 3464–3477, Punta Cana, Dominican Republic.

• D Sánchez Villegas, N Aletras (2021). Point-of-interest type prediction using text and images. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7785–7797, Online and Punta Cana, Dominican Republic.

• D Sánchez Villegas, S Mokaram, N Aletras (2021). Analysing online political advertisements. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3669–3680.

• S Vincent (2021). Towards personalised and document-level machine translation of dialogue. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, pages 137–147.

• P Vickers, N Aletras, E Monti, L Barrault (2021). In factuality: Efficient integration of relevant facts for visual question answering. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 468–475.

• P Vickers, R Wainwright, H Tayyar Madabushi, A Villavicencio (2021). CogNLP-Sheffield at CMCL 2021 shared task: Blending cognitively inspired features with transformer-based language models for predicting eye tracking patterns. Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, pages 125–133.

2020

• A Maronikolakis, D Sánchez Villegas, D Preoţiuc-Pietro, N Aletras (2020). Analysing political parody in social media. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 4373–4384.

• D Sánchez Villegas, D Preoţiuc-Pietro, N Aletras (2020). Point-of-interest type inference from social media text. Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 804–810, Suzhou, China.