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20112022
most citedUnderspecification Presents Challenges for Credibility in Modern Machine Learning

430 citations · 1.5k across the 43 of their papers we have counts for

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Showing 2014Show all

5 papers · 1 filter

cs.CL2014

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…

cs.CL2014★ 3 cited

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…

cs.SI2014

"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:…

cs.CL2014★ 54 cited

Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches

Tahira Naseem, Benjamin Snyder, Jacob Eisenstein +1

We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The central assumption of our work is that by combining cues from multiple langua…

cs.CL2014★ 61 cited

Learning Document-Level Semantic Properties from Free-Text Annotations

S. R. K. Branavan, Harr Chen, Jacob Eisenstein +1

This paper presents a new method for inferring the semantic properties of documents by leveraging free-text keyphrase annotations. Such annotations are becoming increasingly abunda…