publications

Overall, in the last 5 years I have authored 40 papers which have 279 citations according to Google Scholar (h-index 10). Of those 35 are published in peer-reviewed conferences and journals, of which six are published in exclusive CORE A* ranked venues and another four in A ranked venues.

2025

  1. MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues
    Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F Chen, Stefan Winkler
    In AAAI, 2025
  2. Learning to generate and evaluate fact-checking explanations with transformers
    Darius Feher, Abdullah Khered, Hao Zhang, Riza Batista-Navarro, Viktor Schlegel
    Engineering Applications of Artificial Intelligence, 2025

2024

  1. A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond
    Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria
    In EACL, 2024
  2. Enriching the Metadata of Community-Generated Digital Content through Entity Linking: An Evaluative Comparison of State-of-the-Art Models
    Youcef Benkhedda, Adrians Skapars, Viktor Schlegel, Goran Nenadic, Riza Theresa Batista-Navarro
    In LaTeCH-CLfL @ EACL, 2024
  3. Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage
    Ewan D Hannaford, Viktor Schlegel, Rhiannon Lewis, Stefan Ramsden, Jenny Bunn, John Moore, Marc Alexander, Hannah Barker, Riza Batista-Navarro, Lorna Hughes, others
    Journal of Documentation, 2024
  4. Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
    Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, others
    In ACL Findings, 2024
  5. M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering
    Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler
    In ACL Findings, 2024
  6. From Outputs to Insights: A Survey of Rationalisation Approaches for Explainable Text Classification
    Erick A Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
    Frontiers in Artificial Intelligence, 2024
  7. Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension
    Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
    arXiv preprint arXiv:2408.05023, 2024
  8. uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization
    Aishik Nagar, Yutong Liu, Andy T Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T Tan
    arXiv preprint arXiv:2408.12095, 2024
  9. LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
    Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen, Hao Li, Yuping Wu, Kuluhan Binici, Stefan Winkler
    arXiv preprint arXiv:2408.12249, 2024
  10. Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?
    Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler
    In EMNLP, 2024
  11. Representation Learning of Structured Data for Medical Foundation Models
    Vijay Prakash Dwivedi, Viktor Schlegel, Andy T Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T Tan
    In UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural Models, 2024
  12. Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour
    Erick Guzman, Viktor Schlegel, Riza Theresa Batista-Navarro
    In NLP4PI @ EMNLP, 2024

2023

  1. Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification
    Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Kashyap, Stefan Winkler, Shao-Syuan Huang, Jie-Jyun Liu, Chih-Jen Lin
    arXiv preprint arXiv:2304.13998, 2023
  2. Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation
    Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
    In ACL, 2023
  3. A Two-Stage Decoder for Efficient ICD Coding
    Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Kashyap, Stefan Winkler
    In ACL Findings, 2023
  4. Global information-aware argument mining based on a top-down multi-turn QA model
    Boyang Liu, Viktor Schlegel, Paul Thompson, Riza Theresa Batista-Navarro, Sophia Ananiadou
    Information Processing & Management, 2023
  5. Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature
    Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou
    In CODI @ ACL, 2023
  6. 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
    Hao Li, Yuping Wu, Viktor Schlegel, Riza Theresa Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
    In BioNLP @ ACL, 2023
  7. Few-shot entity linking of food names
    Darius Feher, Faridz Ibrahim, Zhuyan Cheng, Viktor Schlegel, Tom Maidment, James Bagshaw, Riza Batista-Navarro
    Information Processing & Management, 2023
  8. Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?
    Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
    In AACL, 2023
  9. Mmt’s submission for the wmt 2023 quality estimation shared task
    Yulong Wu, Viktor Schlegel, Daniel Beck, Riza Theresa Batista-Navarro
    In WMT @ EMNLP, 2023
  10. Argument mining as a multi-hop generative machine reading comprehension task
    Boyang Liu, Viktor Schlegel, Riza Theresa Batista-Navarro, Sophia Ananiadou
    In EMNLP Findings, 2023
  11. Automated Clinical Coding for Outpatient Departments
    Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Tsung-Han Yang, Vijay Prakash Dwivedi, Wei-Hsian Yin, Jeng Wei, Stefan Winkler
    arXiv preprint arXiv:2312.13533, 2023
  12. Pulsar at mediqa-sum 2023: Large language models augmented by synthetic dialogue convert patient dialogues to medical records
    Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiaojun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, others
    In ImageClef @ CLEF, 2023

2022

  1. WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language
    Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi
    In ACL, 2022
  2. A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding
    Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
    Natural Language Engineering, 2022
  3. RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour
    Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
    In LREC, 2022
  4. Incorporating Zoning Information into Argument Mining from Biomedical Literature
    Boyang Liu, Viktor Schlegel, Riza Theresa Batista-Navarro, Sophia Ananiadou
    In LREC, 2022
  5. ‘Am I the Bad One’? Predicting the Moral Judgement of the Crowd Using Pre–trained Language Models
    Areej Alhassan, Jinkai Zhang, Viktor Schlegel
    In LREC, 2022
  6. Can Transformers Reason in Fragments of Natural Language?
    Viktor Schlegel, Kamen V Pavlov, Ian Pratt-Hartmann
    In EMNLP, 2022
  7. Towards Human-Centred Explainability Benchmarks For Text Classification
    Viktor Schlegel, Erick Mendez-Guzman, Riza Batista-Navarro
    NEATCLasS @ ICWSM, 2022

2021

  1. Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
    Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
    In AAAI, 2021
  2. Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?
    Yulong Wu, Viktor Schlegel, Riza Theresa Batista-Navarro
    In EACL, 2021
  3. Emerging evaluation paradigms in natural language understanding: a case study in machine reading comprehension
    Viktor Schlegel
    2021

2020

  1. A framework for evaluation of machine reading comprehension gold standards
    Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
    In LREC, 2020

2019

  1. Vajra: step-by-step programming with natural language
    Viktor Schlegel, Benedikt Lang, Siegfried Handschuh, André Freitas
    In IUI, 2019
  2. Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks
    Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, Andre Freitas
    In TextGraphs-13 @ EMNLP, 2019
  3. DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings
    Viktor Schlegel, André Freitas
    In TextGraphs-13 @ EMNLP, 2019