ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.06710
  4. Cited By
Correlation-based Intrinsic Evaluation of Word Vector Representations

Correlation-based Intrinsic Evaluation of Word Vector Representations

21 June 2016
Yulia Tsvetkov
Manaal Faruqui
Chris Dyer
ArXivPDFHTML

Papers citing "Correlation-based Intrinsic Evaluation of Word Vector Representations"

4 / 4 papers shown
Title
Contrastive Visual Semantic Pretraining Magnifies the Semantics of
  Natural Language Representations
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
Robert Wolfe
Aylin Caliskan
VLM
23
13
0
14 Mar 2022
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across
  Languages and Over Centuries
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries
Autumn Toney
Aylin Caliskan
23
22
0
06 Jun 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Marco Tulio Ribeiro
Tongshuang Wu
Carlos Guestrin
Sameer Singh
ELM
46
1,084
0
08 May 2020
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not:
  Testing whether Word Embeddings Can Tell
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
Pia Sommerauer
Antske Fokkens
24
27
0
05 Sep 2018
1