Data augmentation is an important component in the robustness evaluation of models in
natural language processing (NLP) and in enhancing the diversity of the data they are …

While privacy laws and regulations require apps and services to disclose the purposes of
their data collection to the users (ie, why do they collect my data?), the data usage in an …

Social scientists have become increasingly interested in how narratives—the stories in
fiction, politics, and life—shape beliefs, behavior, and government policies. This paper …

Social scientists have become increasingly interested in how narratives--the stories in
fiction, politics, and life--shape beliefs, behavior, and government policies. This paper …

This paper describes the evolution of the PropBank approach to semantic role labeling over
the last two decades. During this time the PropBank frame files have been expanded to …

Even though SRL is researched for many languages, major improvements have mostly been
obtained for English, for which more resources are available. In fact, existing multilingual …

Domain model acquisition has been identified as a bottleneck in the application of planning
technology, especially within narrative planning. Learning action models from narrative texts …

CommonsenseQA is a task in which a correct answer is predicted through commonsense
reasoning with pre-defined knowledge. Most previous works have aimed to improve the …

This paper presents a novel semantic representation, WISeR, that overcomes challenges for
Abstract Meaning Representation (AMR). Despite its strengths, AMR is not easily applied to …

Video Question Answering (VidQA) evaluation metrics have been limited to a single-word
answer or selecting a phrase from a fixed set of phrases. These metrics limit the VidQA …