Sledovat
Viktor Schlegel
Viktor Schlegel
Deputy Director IN-CYPHER Programme @ IGS, Imperial College London
E-mailová adresa ověřena na: imperial.ac.uk - Domovská stránka
Název
Citace
Citace
Rok
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
352020
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
30*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
242019
Vajra: step-by-step programming with natural language
V Schlegel, B Lang, S Handschuh, A Freitas
IUI, 30-39, 2019
182019
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
162023
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
16*2023
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language
F Tavella, V Schlegel, M Romeo, A Galata, A Cangelosi
ACL, 2022
162022
Can Transformers Reason in Fragments of Natural Language?
V Schlegel, KV Pavlov, I Pratt-Hartmann
EMNLP, 2022
142022
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
132023
‘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
112022
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
10*2024
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
V Schlegel, G Nenadic, R Batista-Navarro
AAAI, 13762-13770, 2021
102021
A Two-Stage Decoder for Efficient ICD Coding
TT Nguyen, V Schlegel, A Kashyap, S Winkler
ACL Findings, 2023
92023
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
92023
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, ...
ImageClef @ CLEF, 2023
82023
Towards Human-Centred Explainability Benchmarks For Text Classification
V Schlegel, E Mendez-Guzman, R Batista-Navarro
NEATCLasS @ ICWSM, 2022
62022
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour
EM Guzman, V Schlegel, R Batista-Navarro
LREC, 2022
62022
Argument mining as a multi-hop generative machine reading comprehension task
B Liu, V Schlegel, RT Batista-Navarro, S Ananiadou
EMNLP Findings, 10846-10858, 2023
42023
Few-shot entity linking of food names
D Feher, F Ibrahim, Z Cheng, V Schlegel, T Maidment, J Bagshaw, ...
Information Processing & Management 60 (5), 103463, 2023
42023
Global information-aware argument mining based on a top-down multi-turn QA model
B Liu, V Schlegel, P Thompson, RT Batista-Navarro, S Ananiadou
Information Processing & Management 60 (5), 103445, 2023
42023
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Články 1–20