Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Koshorek, Omri"'
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 simple chart-based neural discourse parser that does not require any
Externí odkaz:
http://arxiv.org/abs/2009.01312
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 of complex structures, which hinders their adoption. Learning to acti
Externí odkaz:
http://arxiv.org/abs/1910.02228
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 text segmentation focused on unsupervised methods such as clustering
Externí odkaz:
http://arxiv.org/abs/1803.09337