15 citations · 29 across the 8 of their papers we have counts for
4 papers · 1 filter
Entity-Augmented Distributional Semantics for Discourse Relations
Yangfeng Ji, Jacob Eisenstein
Discourse relations bind smaller linguistic elements into coherent texts. However, automatically identifying discourse relations is difficult, because it requires understanding the…
Unsupervised Domain Adaptation with Feature Embeddings
Yi Yang, Jacob Eisenstein
Representation learning is the dominant technique for unsupervised domain adaptation, but existing approaches often require the specification of "pivot features" that generalize ac…
One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations
Yangfeng Ji, Jacob Eisenstein
Discourse relations bind smaller linguistic units into coherent texts. However, automatically identifying discourse relations is difficult, because it requires understanding the se…
"You're Mr. Lebowski, I'm the Dude": Inducing Address Term Formality in Signed Social Networks
Vinodh Krishnan, Jacob Eisenstein
We present an unsupervised model for inducing signed social networks from the content exchanged across network edges. Inference in this model solves three problems simultaneously:…