16 citations · 17 across the 4 of their papers we have counts for
7 papers
Towards Human-Centred Explainability Benchmarks For Text Classification
Viktor Schlegel, Erick Mendez-Guzman, Riza Batista-Navarro
Progress on many Natural Language Processing (NLP) tasks, such as text classification, is driven by objective, reproducible and scalable evaluation via publicly available benchmark…
Can Transformers Reason in Fragments of Natural Language?
Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann
State-of-the-art deep-learning-based approaches to Natural Language Processing (NLP) are credited with various capabilities that involve reasoning with natural language texts. In t…
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour
Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
Forced labour is the most common type of modern slavery, and it is increasingly gaining the attention of the research and social community. Recent studies suggest that artificial i…
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Advances in NLP have yielded impressive results for the task of machine reading comprehension (MRC), with approaches having been reported to achieve performance comparable to that…
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
Recent years have seen a growing number of publications that analyse Natural Language Inference (NLI) datasets for superficial cues, whether they undermine the complexity of the ta…
A Framework for Evaluation of Machine Reading Comprehension Gold Standards
Viktor Schlegel, Marco Valentino, André Freitas +2
Machine Reading Comprehension (MRC) is the task of answering a question over a paragraph of text. While neural MRC systems gain popularity and achieve noticeable performance, issue…