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ORCIDHarish Tayyar Madabushi
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2020 – today
- 2024
[c34]Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych:
Are Emergent Abilities in Large Language Models just In-Context Learning? ACL (1) 2024: 5098-5139- [c33]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, Pablo Medina-Alias, Philippe Mulhem, Florina Piroi, Martin Popel, Arkaitz Zubiaga:
Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. CLEF (2) 2024: 208-230 - [c32]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, Pablo Medina-Alias, Philippe Mulhem, Florina Piroi, Martin Popel, Arkaitz Zubiaga:
Extended Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. CLEF (Working Notes) 2024: 2267-2289 - [c31]Claire Bonial, Harish Tayyar Madabushi:
A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models. LREC/COLING 2024: 243-255 - [c30]Frances Adriana Laureano De Leon, Harish Tayyar Madabushi, Mark Lee:
Code-Mixed Probes Show How Pre-Trained Models Generalise on Code-Switched Text. LREC/COLING 2024: 3457-3468 - [c29]Jonathan Dunn, Benjamin Adams, Harish Tayyar Madabushi:
Pre-Trained Language Models Represent Some Geographic Populations Better than Others. LREC/COLING 2024: 12966-12976 - [c28]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, Pablo Medina-Alias, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga:
LongEval: Longitudinal Evaluation of Model Performance at CLEF 2024. ECIR (6) 2024: 60-66 - [e2]Atul Kr. Ojha, A. Seza Dogruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá:
Proceedings of the 18th International Workshop on Semantic Evaluation, SemEval@NAACL 2024, Mexico City, Mexico, June 20-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-107-0 [contents] - [i27]Edward Gow-Smith, Dylan Phelps, Harish Tayyar Madabushi, Carolina Scarton, Aline Villavicencio:
Word Boundary Information Isn't Useful for Encoder Language Models. CoRR abs/2401.07923 (2024) - [i26]Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi:
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation. CoRR abs/2402.12593 (2024) - [i25]Frances Adriana Laureano De Leon, Harish Tayyar Madabushi, Mark Lee:
Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text. CoRR abs/2403.04872 (2024) - [i24]Jonathan Dunn, Benjamin Adams, Harish Tayyar Madabushi:
Pre-Trained Language Models Represent Some Geographic Populations Better Than Others. CoRR abs/2403.11025 (2024) - [i23]Harish Tayyar Madabushi:
FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models. CoRR abs/2406.16167 (2024) - [i22]Haritz Puerto, Tilek Chubakov, Xiaodan Zhu, Harish Tayyar Madabushi, Iryna Gurevych:
Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models. CoRR abs/2407.03181 (2024) - [i21]Joseph Marvin Imperial, Harish Tayyar Madabushi:
SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning. CoRR abs/2407.13297 (2024) - 2023
- [c27]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, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga:
Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. CLEF 2023: 440-458 - [c26]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, Daniel Loureiro, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Harish Tayyar Madabushi, Arkaitz Zubiaga:
Extended Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance. CLEF (Working Notes) 2023: 2181-2203 - [c25]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, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, Arkaitz Zubiaga:
LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023. ECIR (3) 2023: 499-505 - [c24]Joseph Marvin Imperial, Harish Tayyar Madabushi:
Uniform Complexity for Text Generation. EMNLP (Findings) 2023: 12025-12046 - [e1]Atul Kr. Ojha, A. Seza Dogruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori:
Proceedings of the The 17th International Workshop on Semantic Evaluation, SemEval@ACL 2023, Toronto, Canada, 13-14 July 2023. Association for Computational Linguistics 2023 [contents] - [i20]Harish Tayyar Madabushi, Laurence Romain, Petar Milin, Dagmar Divjak:
Construction Grammar and Language Models. CoRR abs/2308.13315 (2023) - [i19]Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych:
Are Emergent Abilities in Large Language Models just In-Context Learning? CoRR abs/2309.01809 (2023) - [i18]Joseph Marvin Imperial, Harish Tayyar Madabushi:
Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models. CoRR abs/2309.05454 (2023) - 2022
- [c23]Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, Aline Villavicencio:
Improving Tokenisation by Alternative Treatment of Spaces. EMNLP 2022: 11430-11443 - [c22]Dylan Phelps, Xuan-Rui Fan, Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, Aline Villavicencio:
Sample Efficient Approaches for Idiomaticity Detection. MWE@LREC2022 2022: 105-111 - [c21]Harish Tayyar Madabushi, Dagmar Divjak, Petar Milin:
Abstraction not Memory: BERT and the English Article System. NAACL-HLT 2022: 924-931 - [c20]Harish Tayyar Madabushi, Edward Gow-Smith, Marcos García, Carolina Scarton, Marco Idiart, Aline Villavicencio:
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding. SemEval@NAACL 2022: 107-121 - [i17]Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, Aline Villavicencio:
Improving Tokenisation by Alternative Treatment of Spaces. CoRR abs/2204.04058 (2022) - [i16]Harish Tayyar Madabushi, Edward Gow-Smith, Marcos García, Carolina Scarton, Marco Idiart, Aline Villavicencio:
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding. CoRR abs/2204.10050 (2022) - [i15]Dylan Phelps, Xuan-Rui Fan, Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton, Aline Villavicencio:
Sample Efficient Approaches for Idiomaticity Detection. CoRR abs/2205.11306 (2022) - [i14]Harish Tayyar Madabushi, Dagmar Divjak, Petar Milin:
Abstraction not Memory: BERT and the English Article System. CoRR abs/2206.04184 (2022) - [i13]Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Aline Villavicencio, Iryna Gurevych:
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5. CoRR abs/2210.17301 (2022) - 2021
- [c19]Peter Vickers, Rosa Wainwright, Harish Tayyar Madabushi, Aline Villavicencio:
CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns. CMLS 2021: 125-133 - [c18]Jonathan Dunn, Harish Tayyar Madabushi:
Learned Construction Grammars Converge Across Registers Given Increased Exposure. CoNLL 2021: 268-278 - [c17]Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, Aline Villavicencio:
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models. EMNLP (Findings) 2021: 3464-3477 - [c16]Erik Yan, Harish Tayyar Madabushi:
UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction. SemEval@ACL/IJCNLP 2021: 243-248 - [c15]Wei Li, Harish Tayyar Madabushi, Mark Lee:
UoB_UK at SemEval 2021 Task 2: Zero-Shot and Few-Shot Learning for Multi-lingual and Cross-lingual Word Sense Disambiguation. SemEval@ACL/IJCNLP 2021: 738-742 - [c14]Frances Adriana Laureano De Leon, Harish Tayyar Madabushi, Mark Lee:
UoB at ProfNER 2021: Data Augmentation for Classification Using Machine Translation. SMM4H@NAACL-HLT 2021: 115-117 - [i12]Harish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, Aline Villavicencio:
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models. CoRR abs/2109.04413 (2021) - [i11]Erik Yan, Harish Tayyar Madabushi:
UoB at SemEval-2021 Task 5: Extending Pre-Trained Language Models to Include Task and Domain-Specific Information for Toxic Span Prediction. CoRR abs/2110.03730 (2021) - [i10]Jonathan Dunn, Harish Tayyar Madabushi:
Learned Construction Grammars Converge Across Registers Given Increased Exposure. CoRR abs/2110.05663 (2021) - 2020
- [c13]Ghadi Alnafesah, Harish Tayyar Madabushi, Mark Lee:
Augmenting Neural Metaphor Detection with Concreteness. Fig-Lang@ACL 2020: 204-210 - [c12]Calum Perrio, Harish Tayyar Madabushi:
CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features. W-NUT@EMNLP 2020: 352-358 - [c11]Beenitaben Shah, Harish Tayyar Madabushi:
Efficient Brain Tumour Segmentation Using Co-registered Data and Ensembles of Specialised Learners. BrainLes@MICCAI (2) 2020: 15-29 - [c10]Harish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, Petar Milin:
CxGBERT: BERT meets Construction Grammar. COLING 2020: 4020-4032 - [c9]Alexander Crosby, Harish Tayyar Madabushi:
UoB at AI-SOCO 2020: Approaches to Source Code Classification and the Surprising Power of n-grams. FIRE (Working Notes) 2020: 677-693 - [c8]Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark:
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. LREC 2020: 5370-5382 - [c7]Eleri Sarsfield, Harish Tayyar Madabushi:
UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses. SemEval@COLING 2020: 239-245 - [c6]Frances Adriana Laureano De Leon, Florimond Guéniat, Harish Tayyar Madabushi:
CS-Embed at SemEval-2020 Task 9: The Effectiveness of Code-switched Word Embeddings for Sentiment Analysis. SemEval@COLING 2020: 922-927 - [c5]Wah Meng Lim, Harish Tayyar Madabushi:
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information. SemEval@COLING 2020: 2216-2221 - [c4]Kyle Reed, Harish Tayyar Madabushi:
Faster BERT-based Re-ranking through Candidate Passage Extraction. TREC 2020 - [i9]Petar Milin, Harish Tayyar Madabushi, Michael Croucher, Dagmar Divjak:
Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences. CoRR abs/2003.03813 (2020) - [i8]Harish Tayyar Madabushi, Elena Kochkina, Michael Castelle:
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data. CoRR abs/2003.11563 (2020) - [i7]Frances Adriana Laureano De Leon, Florimond Guéniat, Harish Tayyar Madabushi:
CS-Embed-francesita at SemEval-2020 Task 9: The effectiveness of code-switched word embeddings for sentiment analysis. CoRR abs/2006.04597 (2020) - [i6]Wah Meng Lim, Harish Tayyar Madabushi:
UoB at SemEval-2020 Task 12: Boosting BERT with Corpus Level Information. CoRR abs/2008.08547 (2020) - [i5]Calum Perrio, Harish Tayyar Madabushi:
CXP949 at WNUT-2020 Task 2: Extracting Informative COVID-19 Tweets - RoBERTa Ensembles and The Continued Relevance of Handcrafted Features. CoRR abs/2010.07988 (2020) - [i4]Eleri Sarsfield, Harish Tayyar Madabushi:
UoB at SemEval-2020 Task 1: Automatic Identification of Novel Word Senses. CoRR abs/2010.09072 (2020) - [i3]Anushka Prakash, Harish Tayyar Madabushi:
Incorporating Count-Based Features into Pre-Trained Models for Improved Stance Detection. CoRR abs/2010.09078 (2020) - [i2]Harish Tayyar Madabushi, Laurence Romain, Dagmar Divjak, Petar Milin:
CxGBERT: BERT meets Construction Grammar. CoRR abs/2011.04134 (2020)
2010 – 2019
- 2019
- [b1]Harish Tayyar Madabushi:
On the integration of conceptual hierarchies with deep learning for explainable open-domain question answering. University of Birmingham, UK, 2019 - [i1]Dongfang Xu, Peter A. Jansen, Jaycie Martin, Zhengnan Xie, Vikas Yadav, Harish Tayyar Madabushi, Oyvind Tafjord, Peter Clark:
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams. CoRR abs/1908.05441 (2019) - 2018
- [c3]Harish Tayyar Madabushi, Mark Lee, John A. Barnden:
Integrating Question Classification and Deep Learning for improved Answer Selection. COLING 2018: 3283-3294 - 2016
- [c2]Harish Tayyar Madabushi, Mark Lee:
High Accuracy Rule-based Question Classification using Question Syntax and Semantics. COLING 2016: 1220-1230 - [c1]Harish Tayyar Madabushi, Mark Buhagiar, Mark Lee:
UoB-UK at SemEval-2016 Task 1: A Flexible and Extendable System for Semantic Text Similarity using Types, Surprise and Phrase Linking. SemEval@NAACL-HLT 2016: 680-685
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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