462 citations · 2.2k across the 15 of their papers we have counts for
Showing 2015 · cs.CLShow all
3 papers · 2 filters
cs.CL2015★ 207 cited
A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li, Minh-Thang Luong, Dan Jurafsky
Natural language generation of coherent long texts like paragraphs or longer documents is a challenging problem for recurrent networks models. In this paper, we explore an importan…
cs.CL2015
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li, Dan Jurafsky
Learning a distinct representation for each sense of an ambiguous word could lead to more powerful and fine-grained models of vector-space representations. Yet while `multi-sense'…
cs.CL2015★ 166 cited
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy +1
While neural networks have been successfully applied to many NLP tasks the resulting vector-based models are very difficult to interpret. For example it's not clear how they achiev…