A framework for evaluation of machine reading comprehension gold standards V Schlegel, M Valentino, A Freitas, G Nenadic, R Batista-Navarro LREC, 5359–5369, 2020 | 30 | 2020 |
A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding V Schlegel, G Nenadic, R Batista-Navarro Natural Language Engineering, 1-31, 2022 | 25* | 2022 |
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks M Thayaparan, M Valentino, V Schlegel, A Freitas TextGraphs-13 @ EMNLP, 42–51, 2019 | 22 | 2019 |
Mmt’s submission for the wmt 2023 quality estimation shared task Y Wu, V Schlegel, D Beck, RT Batista-Navarro WMT @ EMNLP, 856-862, 2023 | 16 | 2023 |
Vajra: step-by-step programming with natural language V Schlegel, B Lang, S Handschuh, A Freitas IUI, 30-39, 2019 | 15 | 2019 |
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language F Tavella, V Schlegel, M Romeo, A Galata, A Cangelosi ACL, 2022 | 12 | 2022 |
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation H Li, V Schlegel, R Batista-Navarro, G Nenadic ACL, 2023 | 11 | 2023 |
Can Transformers Reason in Fragments of Natural Language? V Schlegel, KV Pavlov, I Pratt-Hartmann EMNLP, 2022 | 9 | 2022 |
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading V Schlegel, G Nenadic, R Batista-Navarro AAAI, 13762-13770, 2021 | 9 | 2021 |
Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models H Li, Y Wu, V Schlegel, RT Batista-Navarro, TT Nguyen, AR Kashyap, ... BioNLP @ ACL, 503-509, 2023 | 8* | 2023 |
A Two-Stage Decoder for Efficient ICD Coding TT Nguyen, V Schlegel, A Kashyap, S Winkler ACL Findings, 2023 | 6 | 2023 |
‘Am I the Bad One’? Predicting the Moral Judgement of the Crowd Using Pre–trained Language Models A Alhassan, J Zhang, V Schlegel LREC, 267-276, 2022 | 6 | 2022 |
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond AR Kashyap, TT Nguyen, V Schlegel, S Winkler, SK Ng, S Poria EACL, 2024 | 5* | 2024 |
Pulsar at mediqa-sum 2023: Large language models augmented by synthetic dialogue convert patient dialogues to medical records V Schlegel, H Li, Y Wu, A Subramanian, TT Nguyen, AR Kashyap, D Beck, ... ImageClef @ CLEF, 2023 | 4 | 2023 |
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification TT Nguyen, V Schlegel, A Kashyap, S Winkler, SS Huang, JJ Liu, CJ Lin arXiv preprint arXiv:2304.13998, 2023 | 4 | 2023 |
Towards Human-Centred Explainability Benchmarks For Text Classification V Schlegel, E Mendez-Guzman, R Batista-Navarro NEATCLasS @ ICWSM, 2022 | 4 | 2022 |
Incorporating Zoning Information into Argument Mining from Biomedical Literature B Liu, V Schlegel, RT Batista-Navarro, S Ananiadou LREC, 6162-6169, 2022 | 4 | 2022 |
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour EM Guzman, V Schlegel, R Batista-Navarro LREC, 2022 | 4 | 2022 |
Few-shot entity linking of food names D Feher, F Ibrahim, Z Cheng, V Schlegel, T Maidment, J Bagshaw, ... Information Processing & Management 60 (5), 103463, 2023 | 2 | 2023 |
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? Y Wu, V Schlegel, RT Batista-Navarro EACL, 3565-3579, 2021 | 2 | 2021 |