Enforcing Structural Diversity in Cube-pruned Dependency Parsing

Diversity-Aware Batch Active Learning for Dependency Parsing

While the predictive performance of modern statistical dependency parsers relies heavily on the availability of expensive expert-annotated treebank data, not all annotations contribute equally to the training of the pars…

From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation

Large Language Models (LLMs) have shown strong potential for narrative generation, but their use in complex, multi-layered role-playing game (RPG) worlds is still limited by issues of coherence, controllability, and stru…

DepGraph: Towards Any Structural Pruning

Structural pruning enables model acceleration by removing structurally-grouped parameters from neural networks. However, the parameter-grouping patterns vary widely across different models, making architecture-specific p…

Generalized Higher-Order Dependency Parsing with Cube Pruning

BioCube: A Multimodal Dataset for Biodiversity Research

Biodiversity research requires complete and detailed information to study ecosystem dynamics at different scales. Employing data-driven methods like Machine Learning is getting traction in ecology and more specific biodi…