Viktor Schlegel

Orcid: 0000-0002-6391-2950

According to our database1, Viktor Schlegel authored at least 27 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Global information-aware argument mining based on a top-down multi-turn QA model.
Inf. Process. Manag., September, 2023

Few-shot entity linking of food names.
Inf. Process. Manag., September, 2023

A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding.
Nat. Lang. Eng., January, 2023

Automated Clinical Coding for Outpatient Departments.
CoRR, 2023

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
CoRR, 2023

Beyond Words: A Comprehensive Survey of Sentence Representations.
CoRR, 2023

Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification.
CoRR, 2023

MMT's Submission for the WMT 2023 Quality Estimation Shared Task.
Proceedings of the Eighth Conference on Machine Translation, 2023

Argument mining as a multi-hop generative machine reading comprehension task.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 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.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

A Two-Stage Decoder for Efficient ICD Coding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Incorporating Zoning Information into Argument Mining from Biomedical Literature.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

'Am I the Bad One'? Predicting the Moral Judgement of the Crowd Using Pre-trained Language Models.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Towards Human-Centred Explainability Benchmarks For Text Classification.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

Can Transformers Reason in Fragments of Natural Language?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models.
CoRR, 2020

A Framework for Evaluation of Machine Reading Comprehension Gold Standards.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings.
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

Vajra: step-by-step programming with natural language.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019


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