Vajra: step-by-step programming with natural language. - Viktor Schlegel; Benedikt Lang; Siegfried Handschuh; André Freitas (IUI, 2019)

DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings. - Viktor Schlegel; André Freitas (TextGraphs@EMNLP, 2019)

Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. - Mokanarangan Thayaparan; Marco Valentino; Viktor Schlegel; André Freitas (TextGraphs@EMNLP, 2019)

A Framework for Evaluation of Machine Reading Comprehension Gold Standards. - Viktor Schlegel; Marco Valentino; André Freitas; Goran Nenadic; Riza Batista-Navarro (LREC, 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)

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. - Viktor Schlegel; Goran Nenadic; Riza Batista-Navarro (AAAI, 2021)

Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? - Yulong Wu; Viktor Schlegel; Riza Batista-Navarro (EACL, 2021)

WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language. - Federico Tavella; Viktor Schlegel; Marta Romeo; Aphrodite Galata; Angelo Cangelosi (ACL (2), 2022)

Can Transformers Reason in Fragments of Natural Language? - Viktor Schlegel; Kamen V. Pavlov; Ian Pratt-Hartmann (EMNLP, 2022)

Towards Human-Centred Explainability Benchmarks For Text Classification. - Viktor Schlegel; Erick Mendez Guzman; Riza Batista-Navarro (ICWSM Workshops, 2022)

'Am I the Bad One'? Predicting the Moral Judgement of the Crowd Using Pre-trained Language Models. - Areej Alhassan; Jinkai Zhang; Viktor Schlegel (LREC, 2022)

RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. - Erick Mendez Guzman; Viktor Schlegel; Riza Batista-Navarro (LREC, 2022)

Incorporating Zoning Information into Argument Mining from Biomedical Literature. - Boyang Liu 002; Viktor Schlegel; Riza Batista-Navarro; Sophia Ananiadou (LREC, 2022)

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. - Hao Li 074; Viktor Schlegel; Riza Batista-Navarro; Goran Nenadic (ACL (1), 2023)

A Two-Stage Decoder for Efficient ICD Coding. - Thanh-Tung Nguyen; Viktor Schlegel; Abhinav Ramesh Kashyap; Stefan Winkler 001 (ACL (Findings), 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 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (BioNLP@ACL, 2023)

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. - Viktor Schlegel; Hao Li 074; Yuping Wu 001; Anand Subramanian 004; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Daniel Beck; Xiao-Jun Zeng; Riza Theresa Batista-Navarro; Stefan Winkler 001; Goran Nenadic (CLEF (Working Notes), 2023)

Argument mining as a multi-hop generative machine reading comprehension task. - Boyang Liu 002; Viktor Schlegel; Riza Batista-Navarro; Sophia Ananiadou (EMNLP (Findings), 2023)

Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? - Yulong Wu; Viktor Schlegel; Riza Batista-Navarro (IJCNLP (2), 2023)

MMT's Submission for the WMT 2023 Quality Estimation Shared Task. - Yulong Wu; Viktor Schlegel; Daniel Beck; Riza Batista-Navarro (WMT, 2023)

Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification. - Thanh-Tung Nguyen; Viktor Schlegel; Abhinav Ramesh Kashyap; Stefan Winkler 001; Shao-Syuan Huang; Jie-Jyun Liu; Chih-Jen Lin (CoRR, 2023)

Beyond Words: A Comprehensive Survey of Sentence Representations. - Abhinav Ramesh Kashyap; Thanh-Tung Nguyen; Viktor Schlegel; Stefan Winkler 001; See-Kiong Ng; Soujanya Poria (CoRR, 2023)

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (CoRR, 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 001 (CoRR, 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., 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., 2023)

Global information-aware argument mining based on a top-down multi-turn QA model. - Boyang Liu 002; Viktor Schlegel; Paul Thompson 002; Riza Theresa Batista-Navarro; Sophia Ananiadou (Inf. Process. Manag., 2023)

M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. - Anand Subramanian 004; Viktor Schlegel; Abhinav Ramesh Kashyap; Thanh-Tung Nguyen; Vijay Prakash Dwivedi; Stefan Winkler 001 (ACL (Findings), 2024)

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Tharindu Madusanka; Iqra Zahid; Jiayan Zeng; Xiaochi Wang; Xinran He; Yizhi Li; Goran Nenadic (ACL (Findings), 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 001; See-Kiong Ng; Soujanya Poria (EACL (1), 2024)

Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? - Neeladri Bhuiya; Viktor Schlegel; Stefan Winkler 001 (EMNLP, 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)

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)

LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction. - Aishik Nagar; Viktor Schlegel; Thanh-Tung Nguyen; Hao Li 074; Yuping Wu 001; Kuluhan Binici; Stefan Winkler 001 (CoRR, 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)

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)

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 001 (AAAI, 2025)

uMedSum: A Unified Framework for Clinical 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 (ACL (1), 2025)

Generating Realistic Multi-Beat ECG Signals. - Paul Pöhl; Viktor Schlegel; Hao Li; Anil A. Bharath (DSP, 2025)

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 001; Robby T. Tan (UniReps, 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)

Discontinuous named entities in clinical text: A systematic literature review. - Areej Alhassan; Viktor Schlegel; Monira Aloud; Riza Batista-Navarro; Goran Nenadic (J. Biomed. Informatics, 2025)

Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension. - Yulong Wu; Viktor Schlegel; Riza Batista-Navarro (CoRR, 2025)

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling. - Hao Li 074; Yu-Hao Huang 002; Chang Xu 008; Viktor Schlegel; Ren-He Jiang; Riza Batista-Navarro; Goran Nenadic; Jiang Bian 002 (CoRR, 2025)

Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead. - Viktor Schlegel; Anil A. Bharath; Zilong Zhao; Kevin Yee (CoRR, 2025)

MIRA: Medical Time Series Foundation Model for Real-World Health Data. - Hao Li 074; Bowen Deng; Chang Xu 008; Zhiyuan Feng; Viktor Schlegel; Yu-Hao Huang; Yizheng Sun; Jingyuan Sun; Kailai Yang; Yiyao Yu; Jiang Bian 002 (CoRR, 2025)

Large Language Models in Argument Mining: A Survey. - Hao Li 074; Viktor Schlegel; Yizheng Sun; Riza Batista-Navarro; Goran Nenadic (CoRR, 2025)

Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement. - Hao Li 074; Yizheng Sun; Viktor Schlegel; Kailai Yang; Riza Batista-Navarro; Goran Nenadic (CoRR, 2025)