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Harish Tayyar Madabushi
Harish Tayyar Madabushi
Lecturer (Assistant Professor) in Artificial Intelligence, University of Bath
E-mailová adresa ověřena na: bath.ac.uk - Domovská stránka
Název
Citace
Citace
Rok
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data
HT Madabushi, E Kochkina, M Castelle
Proceedings of the Second Workshop on Natural Language Processing for …, 2019
1532019
Are emergent abilities in large language models just in-context learning?
S Lu, I Bigoulaeva, R Sachdeva, HT Madabushi, I Gurevych
arXiv preprint arXiv:2309.01809, 2023
922023
High Accuracy Rule-based Question Classification using Question Syntax and Semantics
HT Madabushi, M Lee
Proceedings of COLING 2016, the 26th International Conference on …, 2016
832016
Integrating question classification and deep learning for improved answer selection
HT Madabushi, M Lee, J Barnden
Proceedings of the 27th International Conference on Computational …, 2018
682018
CxGBERT: BERT meets Construction Grammar
HT Madabushi, L Romain, D Divjak, P Milin
Proceedings of the 28th International Conference on Computational …, 2020
542020
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
H Tayyar Madabushi, E Gow-Smith, M Garcia, C Scarton, M Idiart, ...
arXiv preprint arXiv:2204.10050, 2022
512022
AStitchInLanguageModels: dataset and methods for the exploration of idiomaticity in pre-trained language models
H Tayyar Madabushi, E Gow-Smith, C Scarton, A Villavicencio
Findings of the Association for Computational Linguistics: EMNLP 2021, 3464-3477, 2021
45*2021
Multi-class hierarchical question classification for multiple choice science exams
D Xu, P Jansen, J Martin, Z Xie, V Yadav, HT Madabushi, O Tafjord, ...
Proceedings of the 12th Conference on Language Resources and Evaluation …, 2019
372019
Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection
A Prakash, HT Madabushi
Proceedings of the 3rd NLP4IF Workshop on NLP for Internet Freedom …, 2020
272020
Overview of the clef-2023 longeval lab on longitudinal evaluation of model performance
R Alkhalifa, I Bilal, H Borkakoty, J Camacho-Collados, R Deveaud, ...
International Conference of the Cross-Language Evaluation Forum for European …, 2023
24*2023
Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences
P Milin, HT Madabushi, M Croucher, D Divjak
arXiv preprint arXiv:2003.03813, 2020
242020
Longeval: longitudinal evaluation of model performance at CLEF 2024
R Alkhalifa, H Borkakoty, R Deveaud, A El-Ebshihy, L Espinosa-Anke, ...
European Conference on Information Retrieval, 60-66, 2024
152024
Improving tokenisation by alternative treatment of spaces
E Gow-Smith, HT Madabushi, C Scarton, A Villavicencio
arXiv preprint arXiv:2204.04058, 2022
142022
Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models
J Marvin Imperial, H Tayyar Madabushi
arXiv e-prints, arXiv: 2309.05454, 2023
13*2023
Augmenting neural metaphor detection with concreteness
G Alnafesah, HT Madabushi, M Lee
Proceedings of the Second Workshop on Figurative Language Processing, 204-210, 2020
122020
Learned Construction Grammars Converge Across Registers Given Increased Exposure
J Dunn, H Tayyar Madabushi
Proceedings of the 25th Conference on Computational Natural Language …, 2021
102021
Uob at semeval-2020 task 12: Boosting bert with corpus level information
WM Lim, HT Madabushi
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
102020
CogNLP-Sheffield at CMCL 2021 Shared Task: Blending cognitively inspired features with transformer-based language models for predicting eye tracking patterns
P Vickers, R Wainwright, H Tayyar Madabushi, A Villavicencio
Proceedings of the Workshop on Cognitive Modeling and Computational …, 2021
72021
Pre-trained language models represent some geographic populations better than others
J Dunn, B Adams, HT Madabushi
arXiv preprint arXiv:2403.11025, 2024
62024
Effective cross-task transfer learning for explainable natural language inference with t5
I Bigoulaeva, R Sachdeva, HT Madabushi, A Villavicencio, I Gurevych
arXiv preprint arXiv:2210.17301, 2022
62022
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Články 1–20