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2020 – today
- 2025
[j6]Darius Feher, Abdullah Salem Khered, Hao Zhang, Riza Batista-Navarro
, Viktor Schlegel:
Learning to generate and evaluate fact-checking explanations with transformers. Eng. Appl. Artif. Intell. 139: 109492 (2025)- 2024
- [j5]Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro:
From outputs to insights: a survey of rationalization approaches for explainable text classification. Frontiers Artif. Intell. 7 (2024) - [j4]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:
Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage. J. Documentation 80(5): 1133-1147 (2024) - [c23]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. ACL (Findings) 2024: 133-150 - [c22]Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler:
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. ACL (Findings) 2024: 4002-4042 - [c21]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. EACL (1) 2024: 1738-1751 - [c20]Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler:
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? EMNLP 2024: 2514-2528 - [i24]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. CoRR abs/2406.03151 (2024) - [i23]Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler:
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. CoRR abs/2406.03699 (2024) - [i22]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension. CoRR abs/2408.05023 (2024) - [i21]Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan:
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization. CoRR abs/2408.12095 (2024) - [i20]Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen, Hao Li, Yuping Wu, Kuluhan Binici, Stefan Winkler:
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction. CoRR abs/2408.12249 (2024) - [i19]Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler:
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. CoRR abs/2408.14418 (2024) - [i18]Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler:
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? CoRR abs/2409.05197 (2024) - [i17]Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan:
Representation Learning of Structured Data for Medical Foundation Models. CoRR abs/2410.13351 (2024) - [i16]Darius Feher, Abdullah Salem Khered, Hao Zhang, Riza Batista-Navarro, Viktor Schlegel:
Learning to Generate and Evaluate Fact-checking Explanations with Transformers. CoRR abs/2410.15669 (2024) - 2023
- [j3]Boyang Liu, Viktor Schlegel, Paul Thompson, Riza Theresa Batista-Navarro, Sophia Ananiadou:
Global information-aware argument mining based on a top-down multi-turn QA model. Inf. Process. Manag. 60(5): 103445 (2023) - [j2]Darius Feher, Faridz Ibrahim, Zhuyan Cheng, Viktor Schlegel, Tom Maidment, James Bagshaw, Riza Batista-Navarro:
Few-shot entity linking of food names. Inf. Process. Manag. 60(5): 103463 (2023) - [j1]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding. Nat. Lang. Eng. 29(1): 1-31 (2023) - [c19]Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler:
A Two-Stage Decoder for Efficient ICD Coding. ACL (Findings) 2023: 4658-4665 - [c18]Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic:
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. ACL (1) 2023: 14064-14080 - [c17]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic:
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. BioNLP@ACL 2023: 503-509 - [c16]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:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CLEF (Working Notes) 2023: 1668-1679 - [c15]Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou:
Argument mining as a multi-hop generative machine reading comprehension task. EMNLP (Findings) 2023: 10846-10858 - [c14]Yulong Wu, Viktor Schlegel, Riza Batista-Navarro:
Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? IJCNLP (2) 2023: 184-196 - [c13]Yulong Wu, Viktor Schlegel, Daniel Beck, Riza Batista-Navarro:
MMT's Submission for the WMT 2023 Quality Estimation Shared Task. WMT 2023: 856-862 - [i15]Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler, Shao-Syuan Huang, Jie-Jyun Liu, Chih-Jen Lin:
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification. CoRR abs/2304.13998 (2023) - [i14]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
Beyond Words: A Comprehensive Survey of Sentence Representations. CoRR abs/2305.12641 (2023) - [i13]Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic:
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. CoRR abs/2305.16000 (2023) - [i12]Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler:
A Two-Stage Decoder for Efficient ICD Coding. CoRR abs/2306.00005 (2023) - [i11]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic:
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. CoRR abs/2306.02754 (2023) - [i10]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:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CoRR abs/2307.02006 (2023) - [i9]Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Tsung-Han Yang, Vijay Prakash Dwivedi, Wei-Hsian Yin, Jeng Wei, Stefan Winkler:
Automated Clinical Coding for Outpatient Departments. CoRR abs/2312.13533 (2023) - 2022
- [c12]Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi:
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language. ACL (2) 2022: 453-463 - [c11]Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann:
Can Transformers Reason in Fragments of Natural Language? EMNLP 2022: 11184-11199 - [c10]Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro:
Towards Human-Centred Explainability Benchmarks For Text Classification. ICWSM Workshops 2022 - [c9]Areej Alhassan, Jinkai Zhang, Viktor Schlegel:
'Am I the Bad One'? Predicting the Moral Judgement of the Crowd Using Pre-trained Language Models. LREC 2022: 267-276 - [c8]Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro:
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. LREC 2022: 3610-3625 - [c7]Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou:
Incorporating Zoning Information into Argument Mining from Biomedical Literature. LREC 2022: 6162-6169 - [i8]Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi:
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language. CoRR abs/2203.06096 (2022) - [i7]Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro:
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. CoRR abs/2205.02684 (2022) - [i6]Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann:
Can Transformers Reason in Fragments of Natural Language? CoRR abs/2211.05417 (2022) - [i5]Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro:
Towards Human-Centred Explainability Benchmarks For Text Classification. CoRR abs/2211.05452 (2022) - 2021
- [c6]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. AAAI 2021: 13762-13770 - [c5]Yulong Wu, Viktor Schlegel, Riza Batista-Navarro:
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? EACL 2021: 3565-3579 - 2020
- [c4]Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. LREC 2020: 5359-5369 - [i4]Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. CoRR abs/2003.04642 (2020) - [i3]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models. CoRR abs/2005.14709 (2020) - [i2]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. CoRR abs/2012.04056 (2020)
2010 – 2019
- 2019
- [c3]Viktor Schlegel, Benedikt Lang, Siegfried Handschuh, André Freitas:
Vajra: step-by-step programming with natural language. IUI 2019: 30-39 - [c2]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. TextGraphs@EMNLP 2019: 42-51 - [c1]Viktor Schlegel, André Freitas:
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings. TextGraphs@EMNLP 2019: 177-185 - [i1]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. CoRR abs/1910.00290 (2019)
Coauthor Index
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last updated on 2025-01-09 13:28 CET by the dblp team
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