Follow
Viktor Schlegel
Viktor Schlegel
AI Researcher, ASUS Intelligent Cloud Services (AICS), Singapore
Verified email at asus.com - Homepage
Title
Cited by
Cited by
Year
A framework for evaluation of machine reading comprehension gold standards
V Schlegel, M Valentino, A Freitas, G Nenadic, R Batista-Navarro
LREC, 5359–5369, 2020
292020
A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding
V Schlegel, G Nenadic, R Batista-Navarro
Natural Language Engineering, 1-31, 2022
22*2022
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks
M Thayaparan, M Valentino, V Schlegel, A Freitas
TextGraphs-13 @ EMNLP, 42–51, 2019
212019
Mmt’s submission for the wmt 2023 quality estimation shared task
Y Wu, V Schlegel, D Beck, RT Batista-Navarro
WMT @ EMNLP, 856-862, 2023
152023
Vajra: step-by-step programming with natural language
V Schlegel, B Lang, S Handschuh, A Freitas
IUI, 30-39, 2019
142019
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language
F Tavella, V Schlegel, M Romeo, A Galata, A Cangelosi
ACL, 2022
112022
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
V Schlegel, G Nenadic, R Batista-Navarro
AAAI, 13762-13770, 2021
112021
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation
H Li, V Schlegel, R Batista-Navarro, G Nenadic
ACL, 2023
62023
Can Transformers Reason in Fragments of Natural Language?
V Schlegel, KV Pavlov, I Pratt-Hartmann
EMNLP, 2022
62022
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
H Li, Y Wu, V Schlegel, RT Batista-Navarro, TT Nguyen, AR Kashyap, ...
BioNLP @ ACL, 503-509, 2023
5*2023
‘Am I the Bad One’? Predicting the Moral Judgement of the Crowd Using Pre–trained Language Models
A Alhassan, J Zhang, V Schlegel
LREC, 267-276, 2022
52022
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records
V Schlegel, H Li, Y Wu, A Subramanian, TT Nguyen, AR Kashyap, D Beck, ...
MEDIQA-Sum @ CLEF, 2023
42023
A Two-Stage Decoder for Efficient ICD Coding
TT Nguyen, V Schlegel, A Kashyap, S Winkler
ACL Findings, 2023
32023
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification
TT Nguyen, V Schlegel, A Kashyap, S Winkler, SS Huang, JJ Liu, CJ Lin
arXiv preprint arXiv:2304.13998, 2023
32023
Incorporating Zoning Information into Argument Mining from Biomedical Literature
B Liu, V Schlegel, RT Batista-Navarro, S Ananiadou
LREC, 6162-6169, 2022
32022
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond
AR Kashyap, TT Nguyen, V Schlegel, S Winkler, SK Ng, S Poria
EACL, 2024
2*2024
Towards Human-Centred Explainability Benchmarks For Text Classification
V Schlegel, E Mendez-Guzman, R Batista-Navarro
NEATCLasS @ ICWSM, 2022
22022
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour
EM Guzman, V Schlegel, R Batista-Navarro
LREC, 2022
22022
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?
Y Wu, V Schlegel, RT Batista-Navarro
EACL, 3565-3579, 2021
22021
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings
V Schlegel, A Freitas
TextGraphs-13 @ EMNLP, 177-185, 2019
22019
The system can't perform the operation now. Try again later.
Articles 1–20