Search Results for author:
Found 3 papers, 1 papers with code
A Simple Global Neural Discourse Parser
Discourse parsing is largely dominated by greedy parsers with manually-designed features, while global parsing is rare due to its computational expense.
On the Limits of Learning to Actively Learn Semantic Representations
We conclude that the current applicability of LTAL for improving data efficiency in learning semantic meaning representations is limited.
Learning Semantic Representations
Natural Language Understanding
Text Segmentation as a Supervised Learning Task
Text segmentation, the task of dividing a document into contiguous segments based on its semantic structure, is a longstanding challenge in language understanding.
