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Joint Word Representation Learning using a Corpus and a Semantic Lexicon

Joint Word Representation Learning using a Corpus and a Semantic Lexicon

19 November 2015
Danushka Bollegala
M. Alsuhaibani
Takanori Maehara
Ken-ichi Kawarabayashi
    NAI
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Papers citing "Joint Word Representation Learning using a Corpus and a Semantic Lexicon"

8 / 8 papers shown
Title
Representation Learning via Variational Bayesian Networks
Representation Learning via Variational Bayesian Networks
Oren Barkan
Avi Caciularu
Idan Rejwan
Ori Katz
Jonathan Weill
Itzik Malkiel
Noam Koenigstein
BDL
24
15
0
28 Jun 2023
TransDrift: Modeling Word-Embedding Drift using Transformer
TransDrift: Modeling Word-Embedding Drift using Transformer
Nishtha Madaan
Prateek Chaudhury
Nishant Kumar
Srikanta J. Bedathur
35
1
0
16 Jun 2022
Dictionary-based Debiasing of Pre-trained Word Embeddings
Dictionary-based Debiasing of Pre-trained Word Embeddings
Masahiro Kaneko
Danushka Bollegala
FaML
35
39
0
23 Jan 2021
A Common Semantic Space for Monolingual and Cross-Lingual
  Meta-Embeddings
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
G. R. Claramunt
Rodrigo Agerri
German Rigau
32
7
0
17 Jan 2020
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
29
14
0
19 Jul 2018
Bilingual Embeddings with Random Walks over Multilingual Wordnets
Bilingual Embeddings with Random Walks over Multilingual Wordnets
J. Goikoetxea
Aitor Soroa Etxabe
Eneko Agirre
11
84
0
23 Apr 2018
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts
Learning Domain-Specific Word Embeddings from Sparse Cybersecurity Texts
Arpita Roy
Youngja Park
Shimei Pan
31
33
0
21 Sep 2017
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
87
2,981
0
04 Mar 2010
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