High Accuracy Rule-based Question Classification using Question Syntax and Semantics. - Harish Tayyar Madabushi; Mark Lee 001 (COLING, 2016)

UoB-UK at SemEval-2016 Task 1: A Flexible and Extendable System for Semantic Text Similarity using Types, Surprise and Phrase Linking. - Harish Tayyar Madabushi; Mark Buhagiar; Mark Lee 001 (SemEval@NAACL-HLT, 2016)

Integrating Question Classification and Deep Learning for improved Answer Selection. - Harish Tayyar Madabushi; Mark Lee 001; John A. Barnden (COLING, 2018)

On the integration of conceptual hierarchies with deep learning for explainable open-domain question answering. - Harish Tayyar Madabushi (2019)

Augmenting Neural Metaphor Detection with Concreteness. - Ghadi Alnafesah; Harish Tayyar Madabushi; Mark Lee 001 (Fig-Lang@ACL, 2020)

CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features. - Calum Perrio; Harish Tayyar Madabushi (W-NUT@EMNLP, 2020)

Efficient Brain Tumour Segmentation Using Co-registered Data and Ensembles of Specialised Learners. - Beenitaben Shah; Harish Tayyar Madabushi (BrainLes@MICCAI (2), 2020)

CxGBERT: BERT meets Construction Grammar. - Harish Tayyar Madabushi; Laurence Romain; Dagmar Divjak; Petar Milin (COLING, 2020)

UoB at AI-SOCO 2020: Approaches to Source Code Classification and the Surprising Power of n-grams. - Alexander Crosby; Harish Tayyar Madabushi (FIRE (Working Notes), 2020)

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. - Dongfang Xu; Peter A. Jansen; Jaycie Martin; Zhengnan Xie; Vikas Yadav; Harish Tayyar Madabushi; Oyvind Tafjord; Peter Clark (LREC, 2020)

CS-Embed at SemEval-2020 Task 9: The Effectiveness of Code-switched Word Embeddings for Sentiment Analysis. - Frances Adriana Laureano De Leon; Florimond Guéniat; Harish Tayyar Madabushi (SemEval@COLING, 2020)

UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information. - Wah Meng Lim; Harish Tayyar Madabushi (SemEval@COLING, 2020)

UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses. - Eleri Sarsfield; Harish Tayyar Madabushi (SemEval@COLING, 2020)

Faster BERT-based Re-ranking through Candidate Passage Extraction. - Kyle Reed; Harish Tayyar Madabushi (TREC, 2020)

Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences. - Petar Milin; Harish Tayyar Madabushi; Michael Croucher; Dagmar Divjak (CoRR, 2020)

Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data. - Harish Tayyar Madabushi; Elena Kochkina; Michael Castelle (CoRR, 2020)

CS-Embed-francesita at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysis. - Frances Adriana Laureano De Leon; Florimond Guéniat; Harish Tayyar Madabushi (CoRR, 2020)

Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection. - Anushka Prakash; Harish Tayyar Madabushi (CoRR, 2020)

CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns. - Peter Vickers; Rosa Wainwright; Harish Tayyar Madabushi; Aline Villavicencio (CMLS, 2021)

Learned Construction Grammars Converge Across Registers Given Increased Exposure. - Jonathan Dunn; Harish Tayyar Madabushi (CoNLL, 2021)

AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models. - Harish Tayyar Madabushi; Edward Gow-Smith; Carolina Scarton; Aline Villavicencio (EMNLP (Findings), 2021)

UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation. - Wei Li; Harish Tayyar Madabushi; Mark Lee 001 (SemEval@ACL/IJCNLP, 2021)

UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction. - Erik Yan; Harish Tayyar Madabushi (SemEval@ACL/IJCNLP, 2021)

UoB at ProfNER 2021: Data Augmentation for Classification Using Machine Translation. - Frances Adriana Laureano De Leon; Harish Tayyar Madabushi; Mark Lee 001 (SMM4H@NAACL-HLT, 2021)

Improving Tokenisation by Alternative Treatment of Spaces. - Edward Gow-Smith; Harish Tayyar Madabushi; Carolina Scarton; Aline Villavicencio (EMNLP, 2022)

Sample Efficient Approaches for Idiomaticity Detection. - Dylan Phelps; Xuan-Rui Fan; Edward Gow-Smith; Harish Tayyar Madabushi; Carolina Scarton; Aline Villavicencio (MWE@LREC2022, 2022)

Abstraction not Memory: BERT and the English Article System. - Harish Tayyar Madabushi; Dagmar Divjak; Petar Milin (NAACL-HLT, 2022)

SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding. - Harish Tayyar Madabushi; Edward Gow-Smith; Marcos García 001; Carolina Scarton; Marco Idiart; Aline Villavicencio (SemEval@NAACL, 2022)

Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5. - Irina Bigoulaeva; Rachneet Sachdeva; Harish Tayyar Madabushi; Aline Villavicencio; Iryna Gurevych (CoRR, 2022)

Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. - Rabab Alkhalifa; Iman Munire Bilal; Hsuvas Borkakoty; José Camacho-Collados; Romain Deveaud; Alaa El-Ebshihy; Luis Espinosa Anke; Gabriela Nicole González Sáez; Petra Galuscáková; Lorraine Goeuriot; Elena Kochkina; Maria Liakata; et al. (CLEF (Working Notes), 2023)

Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. - Rabab Alkhalifa; Iman Munire Bilal; Hsuvas Borkakoty; José Camacho-Collados; Romain Deveaud; Alaa El-Ebshihy; Luis Espinosa Anke; Gabriela González Sáez; Petra Galuscáková; Lorraine Goeuriot; Elena Kochkina; Maria Liakata; et al. (CLEF, 2023)

LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023. - Rabab Alkhalifa; Iman Munire Bilal; Hsubhas Borkakoty; José Camacho-Collados; Romain Deveaud; Alaa El-Ebshihy; Luis Espinosa Anke; Gabriela González Sáez; Petra Galuscáková; Lorraine Goeuriot; Elena Kochkina; Maria Liakata; et al. (ECIR (3), 2023)

Uniform Complexity for Text Generation. - Joseph Marvin Imperial; Harish Tayyar Madabushi (EMNLP (Findings), 2023)

Construction Grammar and Language Models. - Harish Tayyar Madabushi; Laurence Romain; Petar Milin; Dagmar Divjak (CoRR, 2023)

Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models. - Joseph Marvin Imperial; Harish Tayyar Madabushi (CoRR, 2023)

Are Emergent Abilities in Large Language Models just In-Context Learning? - Sheng Lu; Irina Bigoulaeva; Rachneet Sachdeva; Harish Tayyar Madabushi; Iryna Gurevych (ACL (1), 2024)

Extended Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. - Rabab Alkhalifa; Hsuvas Borkakoty; Romain Deveaud; Alaa El-Ebshihy; Luis Espinosa Anke; Tobias Fink; Petra Galuscáková; Gabriela González Sáez; Lorraine Goeuriot; David Iommi; Maria Liakata; Harish Tayyar Madabushi; et al. (CLEF (Working Notes), 2024)

Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. - Rabab Alkhalifa; Hsuvas Borkakoty; Romain Deveaud; Alaa El-Ebshihy; Luis Espinosa Anke; Tobias Fink; Petra Galuscáková; Gabriela González Sáez; Lorraine Goeuriot; David Iommi; Maria Liakata; Harish Tayyar Madabushi; et al. (CLEF (2), 2024)

A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models. - Claire Bonial; Harish Tayyar Madabushi (LREC/COLING, 2024)

Pre-Trained Language Models Represent Some Geographic Populations Better than Others. - Jonathan Dunn; Benjamin Adams; Harish Tayyar Madabushi (LREC/COLING, 2024)

Code-Mixed Probes Show How Pre-Trained Models Generalise on Code-Switched Text. - Frances Adriana Laureano De Leon; Harish Tayyar Madabushi; Mark Lee 001 (LREC/COLING, 2024)

LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024. - Rabab Alkhalifa; Hsuvas Borkakoty; Romain Deveaud; Alaa El-Ebshihy; Luis Espinosa Anke; Tobias Fink; Gabriela González Sáez; Petra Galuscáková; Lorraine Goeuriot; David Iommi; Maria Liakata; Harish Tayyar Madabushi; et al. (ECIR (6), 2024)

Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation. - Joseph Marvin Imperial; Gail Forey; Harish Tayyar Madabushi (EMNLP, 2024)

SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning. - Joseph Marvin Imperial; Harish Tayyar Madabushi (EMNLP (Findings), 2024)

Word Boundary Information Isn't Useful for Encoder Language Models. - Edward Gow-Smith; Dylan Phelps; Harish Tayyar Madabushi; Carolina Scarton; Aline Villavicencio (CoRR, 2024)

FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models. - Harish Tayyar Madabushi (CoRR, 2024)

Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models. - Haritz Puerto; Tilek Chubakov; Xiaodan Zhu; Harish Tayyar Madabushi; Iryna Gurevych (CoRR, 2024)

Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs. - Haritz Puerto; Tilek Chubakov; Xiaodan Zhu; Harish Tayyar Madabushi; Iryna Gurevych (ACL (1), 2025)

Generative FrameNet: Scalable and Adaptive Frames for Interpretable Knowledge Storage and Retrieval for LLMs Powered by LLMs. - Harish Tayyar Madabushi; Taylor Hudson; Claire Bonial (COLING Workshops, 2025)

Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom. - Melissa Torgbi; Andrew Clayman; Jordan J. Speight; Harish Tayyar Madabushi (COLING Workshops, 2025)

Inclusive ASR for Critical Public Services: Debiasing with Actor-Simulated Speech. - Melissa Torgbi; Andrew Clayman; Jordan J. Speight; Joe Hirst; Harish Tayyar Madabushi (TSD (1), 2025)

Assessing Language Comprehension in Large Language Models Using Construction Grammar. - Wesley Scivetti; Melissa Torgbi; Austin Blodgett; Mollie Shichman; Taylor Hudson; Claire Bonial; Harish Tayyar Madabushi (CoRR, 2025)

The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning Capabilities. - Irina Bigoulaeva; Harish Tayyar Madabushi; Iryna Gurevych (CoRR, 2025)

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance. - Joseph Marvin Imperial; Matthew D. Jones; Harish Tayyar Madabushi (CoRR, 2025)

Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contexts. - Frances Laureano De Leon; Harish Tayyar Madabushi; Mark G. Lee (CoRR, 2025)

Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning. - Jingcheng Niu; Subhabrata Dutta; Ahmed Elshabrawy; Harish Tayyar Madabushi; Iryna Gurevych (CoRR, 2025)

Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors. - Harish Tayyar Madabushi; Melissa Torgbi; Claire Bonial (CoRR, 2025)

UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment. - Joseph Marvin Imperial; Abdullah Barayan; Regina Stodden; Rodrigo Wilkens; Ricardo Muñoz Sánchez; Lingyun Gao; Melissa Torgbi; Dawn Knight; Gail Forey; Reka R. Jablonkai; Ekaterina Kochmar; Robert Reynolds 001; et al. (CoRR, 2025)