16 citations · 50 across the 27 of their papers we have counts for
3 papers · 1 filter
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…