On the public citation graph

Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop

https://doi.org/10.18653/v1/d18-1527
0 signed · 30 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4612-0919-5_4openalex-snapshot
The Generalization of Student’s Ratio
inferredcites →https://doi.org/10.1073/pnas.1720347115openalex-snapshot
Word embeddings quantify 100 years of gender and ethnic stereotypes
inferredcites →https://doi.org/10.1145/3178876.3185999openalex-snapshot
Dynamic Embeddings for Language Evolution
inferredcites →https://doi.org/10.1214/aoms/1177705685openalex-snapshot
Asymptotic Formulae for the Distribution of Hotelling's Generalized $T_0^2$ Statistic. II
inferredcites →https://doi.org/10.1214/aoms/1177728075openalex-snapshot
Asymptotic Formulae for the Distribution of Hotelling's Generalized $T^2_0$ Statistic
inferredcites →https://doi.org/10.1214/aoms/1177732979openalex-snapshot
The Generalization of Student's Ratio
inferredcites →https://doi.org/10.1371/journal.pone.0168843openalex-snapshot
Measuring Emotion in Parliamentary Debates with Automated Textual Analysis
inferredcites →https://doi.org/10.18653/v1/d16-1057openalex-snapshot
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
inferredcites →https://doi.org/10.18653/v1/d16-1229openalex-snapshot
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
inferredcites →https://doi.org/10.18653/v1/p16-1141openalex-snapshot
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
inferredcites →https://doi.org/10.2307/2669268openalex-snapshot
Estimating Policy Positions from Political Texts
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1312.6114openalex-snapshot
Auto-Encoding Variational Bayes
inferredcites →https://doi.org/10.48550/arxiv.1412.6623openalex-snapshot
Word Representations via Gaussian Embedding
inferredcites →https://doi.org/10.48550/arxiv.1505.05424openalex-snapshot
Weight Uncertainty in Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1608.00778openalex-snapshot
Exponential Family Embeddings
inferredcites →https://doi.org/10.48550/arxiv.1711.11027openalex-snapshot
Embedding Words as Distributions with a Bayesian Skip-gram Model
inferredcites →https://doi.org/10.5860/choice.48-2806openalex-snapshot
The decline of sterling: managing the retreat of an international currency, 1945-1992
inferredcites →https://doi.org/10.7916/d8nz9rhtopenalex-snapshot
Exponential Family Embeddings

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3737292openalex-extracted
inferred← citeshttps://doi.org/10.1017/pan.2019.23openalex-snapshot
A Timely Intervention: Tracking the Changing Meanings of Political Concepts with Word Vectors
inferred← citeshttps://doi.org/10.1017/pan.2019.46openalex-snapshot
Using Word Order in Political Text Classification with Long Short-term Memory Models
inferred← citeshttps://doi.org/10.1017/s0003055422001228openalex-snapshot
Embedding Regression: Models for Context-Specific Description and Inference
inferred← citeshttps://doi.org/10.1093/jleo/ewab038openalex-snapshot
A Statistical Test for Legal Interpretation: Theory and Applications
inferred← citeshttps://doi.org/10.1177/00491241221134527openalex-snapshot
Introduction to Neural Transfer Learning With Transformers for Social Science Text Analysis
inferred← citeshttps://doi.org/10.18653/v1/w19-2102openalex-snapshot
Identification, Interpretability, and
inferred← citeshttps://doi.org/10.48550/arxiv.1904.01628openalex-snapshot
Identification, Interpretability, and Bayesian Word Embeddings
inferred← citeshttps://doi.org/10.70675/c08ef5d0z7732z4caeza42fz68ade712e3cdopenalex-snapshot
Models of diachronic semantic change using word embeddings
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.