1 citations · 2 across the 2 of their papers we have counts for
6 papers
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks
Bingchen Zhao, Yuling Gu, Jessica Zosa Forde +1
At NeurIPS, American and Chinese institutions cite papers from each other's regions substantially less than they cite endogamously. We build a citation graph to quantify this divid…
A Non-Linear Structural Probe
Jennifer C. White, Tiago Pimentel, Naomi Saphra +1
Probes are models devised to investigate the encoding of knowledge -- e.g. syntactic structure -- in contextual representations. Probes are often designed for simplicity, which has…
LSTMs Compose (and Learn) Bottom-Up
Naomi Saphra, Adam Lopez
Recent work in NLP shows that LSTM language models capture hierarchical structure in language data. In contrast to existing work, we consider the \textit{learning} process that lea…
Word Interdependence Exposes How LSTMs Compose Representations
Naomi Saphra, Adam Lopez
Recent work in NLP shows that LSTM language models capture compositional structure in language data. For a closer look at how these representations are composed hierarchically, we…
Sparsity Emerges Naturally in Neural Language Models
Naomi Saphra, Adam Lopez
Concerns about interpretability, computational resources, and principled inductive priors have motivated efforts to engineer sparse neural models for NLP tasks. If sparsity is impo…
Evaluating Informal-Domain Word Representations With UrbanDictionary
Naomi Saphra, Adam Lopez
Existing corpora for intrinsic evaluation are not targeted towards tasks in informal domains such as Twitter or news comment forums. We want to test whether a representation of inf…