3 accepted papers
Rationale learning aims to automatically uncover the underlying explanations for NLP predictions. Previous studies in rationale learning mainly focus on the relevance of independent tokens with the predictions without considering their marginal contribution and the collective readability of extracte…
Human annotation is costly and impractical when it comes to scarcely labeled data. Besides, the presence of biased language in well-known benchmarks notably misleads predictive models to perform incredibly well, not because of the model capability but due to the hidden false correlations in the ling…
Virtual Reality (VR) has emerged due to advancements in hardware and computer graphics. During the pandemic, conferences and exhibitions leveraging VR have gained attention. However, large-scale VR conferences, face a significant problem not yet studied in the literature -- displaying too many irrel…