Amanote Research

Amanote Research

    RegisterSign In

Quantifying the Semantic Core of Gender Systems

doi 10.18653/v1/d19-1577
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2019

Authors
Adina WilliamsDamian BlasiLawrence Wolf-SonkinHanna WallachRyan Cotterell
Publisher

Association for Computational Linguistics


Related search

Quantifying the Bicycle Share Gender Gap

Transport Findings
2019English

Quantifying the Effects of Text Duplication on Semantic Models

2017English

Elucidating a Core Semantic Network in the Brain--Implications for Disorders of Semantic Cognition

Journal of Neuroscience
Neuroscience
2016English

Quantifying Asymmetric Semantic Relations From Query Logs by Resource Allocation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Quantifying Guest Exchange in Supramolecular Systems

Angewandte Chemie
2017English

Quantifying Guest Exchange in Supramolecular Systems

Angewandte Chemie - International Edition
CatalysisChemistry
2017English

Validating the Semantic Misattribution Procedure as an Implicit Measure of Gender Stereotyping

European Journal of Social Psychology
Social Psychology
2017English

Semantic Heterogeneity in Multidatabase Systems

Journal of Database Management
HardwareInformation SystemsArchitectureSoftware
2004English

Differences Between Grammatical Gender and Semantic Gender in Pronominal Antecedent Retrieval in Brazilian Portuguese

Diacrítica
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy