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. 1904.01500
  4. Cited By
Neural Vector Conceptualization for Word Vector Space Interpretation

Neural Vector Conceptualization for Word Vector Space Interpretation

2 April 2019
Robert Schwarzenberg
Lisa Raithel
David Harbecke
    LLMSV
    VLM
ArXivPDFHTML

Papers citing "Neural Vector Conceptualization for Word Vector Space Interpretation"

11 / 11 papers shown
Title
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,770
0
11 Oct 2018
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
45
29
0
05 Sep 2018
Imparting Interpretability to Word Embeddings while Preserving Semantic
  Structure
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
Lutfi Kerem Senel
Ihsan Utlu
Furkan Şahinuç
H. Ozaktas
Aykut Kocc
56
14
0
19 Jul 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
206
11,549
0
15 Feb 2018
Semantic Structure and Interpretability of Word Embeddings
Semantic Structure and Interpretability of Word Embeddings
Lutfi Kerem Senel
Ihsan Utlu
Veysel Yücesoy
Aykut Koç
Tolga Çukur
50
105
0
01 Nov 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
285
2,264
0
24 Jun 2017
Learning Concept Embeddings for Efficient Bag-of-Concepts Densification
Learning Concept Embeddings for Efficient Bag-of-Concepts Densification
Walid Shalaby
Wlodek Zadrozny
17
6
0
10 Feb 2017
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
61
545
0
15 Aug 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,292
0
20 Dec 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
668
31,489
0
16 Jan 2013
1