Viktor Schlegel

According to our database, Viktor Schlegel authored at least 39 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning to generate and evaluate fact-checking explanations with transformers.

Darius Feher, Abdullah Salem Khered, Hao Zhang, Riza Batista-Navarro, Viktor Schlegel

Eng. Appl. Artif. Intell., 2025

2024

Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage.

Ewan David Hannaford, Viktor Schlegel, Rhiannon Lewis, Stefan Ramsden, Jenny Bunn, John Moore, Marc Alexander, Hannah Barker, Riza Batista-Navarro, Lorna M. Hughes, Goran Nenadic

J. Documentation, 2024

From outputs to insights: a survey of rationalization approaches for explainable text classification.

Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro

Frontiers Artif. Intell., 2024

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

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension.

Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro

CoRR, 2024

Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?

Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

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, Goran Nenadic

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

Inf. Process. Manag., September, 2023

Few-shot entity linking of food names.

Darius Feher, Faridz Ibrahim, Zhuyan Cheng, Viktor Schlegel, Tom Maidment, James Bagshaw, Riza Batista-Navarro

Inf. Process. Manag., September, 2023

A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding.

Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro

Nat. Lang. Eng., January, 2023

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

CoRR, 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 Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic

CoRR, 2023

Beyond Words: A Comprehensive Survey of Sentence Representations.

Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria

CoRR, 2023

Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification.

Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler, Shao-Syuan Huang, Jie-Jyun Liu, Chih-Jen Lin

CoRR, 2023

MMT's Submission for the WMT 2023 Quality Estimation Shared Task.

Yulong Wu, Viktor Schlegel, Daniel Beck, Riza Batista-Navarro

Proceedings of the Eighth Conference on Machine Translation, 2023

Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?

Yulong Wu, Viktor Schlegel, Riza Batista-Navarro

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Argument mining as a multi-hop generative machine reading comprehension task.

Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

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 Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

A Two-Stage Decoder for Efficient ICD Coding.

Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.

Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Incorporating Zoning Information into Argument Mining from Biomedical Literature.

Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour.

Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

'Am I the Bad One'? Predicting the Moral Judgement of the Crowd Using Pre-trained Language Models.

Areej Alhassan, Jinkai Zhang, Viktor Schlegel

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Towards Human-Centred Explainability Benchmarks For Text Classification.

Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro

Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

Can Transformers Reason in Fragments of Natural Language?

Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language.

Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?

Yulong Wu, Viktor Schlegel, Riza Batista-Navarro

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading.

Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models.

Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro

CoRR, 2020

A Framework for Evaluation of Machine Reading Comprehension Gold Standards.

Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks.

Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings.

Viktor Schlegel, André Freitas

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Vajra: step-by-step programming with natural language.

Viktor Schlegel, Benedikt Lang, Siegfried Handschuh, André Freitas

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019