3 papers
cs.CL2020
A Simple Global Neural Discourse Parser
Yichu Zhou, Omri Koshorek, Vivek Srikumar +1
Discourse parsing is largely dominated by greedy parsers with manually-designed features, while global parsing is rare due to its computational expense. In this paper, we propose a…
cs.CL2019
On the Limits of Learning to Actively Learn Semantic Representations
Omri Koshorek, Gabriel Stanovsky, Yichu Zhou +2
One of the goals of natural language understanding is to develop models that map sentences into meaning representations. However, training such models requires expensive annotation…
cs.CL2018
Text Segmentation as a Supervised Learning Task
Omri Koshorek, Adir Cohen, Noam Mor +2
Text segmentation, the task of dividing a document into contiguous segments based on its semantic structure, is a longstanding challenge in language understanding. Previous work on…