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Found 11 papers, 2 papers with code
Examining Pathological Bias in a Generative Adversarial Network Discriminator: A Case Study on a StyleGAN3 Model
Generative adversarial networks (GANs) generate photorealistic faces that are often indistinguishable by humans from real faces.
Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and English
By deleting a single character, we can induce severe translation errors.
An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs
Verb prediction is important for understanding human processing of verb-final languages, with practical applications to real-time simultaneous interpretation from verb-final to verb-medial languages.
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
Sports broadcasters inject drama into play-by-play commentary by building team and player narratives through subjective analyses and anecdotes.
Assessing the Ability of Neural Machine Translation Models to Perform Syntactic Rewriting
We describe work in progress for evaluating performance of sequence-to-sequence neural networks on the task of syntax-based reordering for rules applicable to simultaneous machine translation.
Pathologies of Neural Models Make Interpretations Difficult
In existing interpretation methods for NLP, a word's importance is determined by either input perturbation---measuring the decrease in model confidence when that word is removed---or by the gradient with respect to that word.
Substring Frequency Features for Segmentation of Japanese Katakana Words with Unlabeled Corpora
Furthermore, it improves performance of simple word segmentation models trained on a manually labeled corpus.
Annotating Factive Verbs
These embedded presuppositions provide implicit information about facts assumed to be true in the world, and are thus potentially valuable in areas of research such as textual entailment.
