Viktor Schlegel

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 42

Top Topics

Natural Language

Annotated Corpus

Biomedical Literature

Multilabel Classification

Top Venues

Inf. Process. Manag.

Publications

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)
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 (2024)
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 (2024)
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)
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)
Hao Li, Yu-Ping 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 (2023)
Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? IJCNLP (2) (2023)
Yulong Wu, Viktor Schlegel, Daniel Beck, Riza Batista-Navarro
MMT's Submission for the WMT 2023 Quality Estimation Shared Task. WMT (2023)
Hao Li, Yu-Ping 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)
Viktor Schlegel, Hao Li, Yu-Ping 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)
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 (2023)
Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Kashyap, Stefan Winkler
A Two-Stage Decoder for Efficient ICD Coding. CoRR (2023)
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) (2023)
Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Kashyap, Stefan Winkler, Shao-Syuan Huang, Jie-Jyun Liu, Chih-Jen Lin
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification. CoRR (2023)
Viktor Schlegel, Hao Li, Yu-Ping 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 (2023)
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 (2023)
Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou
Argument mining as a multi-hop generative machine reading comprehension task. EMNLP (Findings) (2023)
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)
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) (2023)
Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria
Beyond Words: A Comprehensive Survey of Sentence Representations. CoRR (2023)
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) (2023)
Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler
A Two-Stage Decoder for Efficient ICD Coding. ACL (Findings) (2023)
Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro
Towards Human-Centred Explainability Benchmarks For Text Classification. ICWSM Workshops (2022)
Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann
Can Transformers Reason in Fragments of Natural Language? CoRR (2022)
Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann
Can Transformers Reason in Fragments of Natural Language? EMNLP (2022)
Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou
Incorporating Zoning Information into Argument Mining from Biomedical Literature. LREC (2022)
Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro
Towards Human-Centred Explainability Benchmarks For Text Classification. CoRR (2022)
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)
Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. CoRR (2022)
Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language. CoRR (2022)
Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. LREC (2022)
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)
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. AAAI (2021)
Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? EACL (2021)
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models. CoRR (2020)
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. LREC (2020)
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. CoRR (2020)
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. CoRR (2020)
Viktor Schlegel, Benedikt Lang, Siegfried Handschuh, André Freitas
Vajra: step-by-step programming with natural language. IUI (2019)
Viktor Schlegel, André Freitas
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings. TextGraphs@EMNLP (2019)
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. TextGraphs@EMNLP (2019)
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. CoRR (2019)