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Ultradense Word Embeddings by Orthogonal Transformation

Ultradense Word Embeddings by Orthogonal Transformation

24 February 2016
S. Rothe
Sebastian Ebert
Hinrich Schütze
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Papers citing "Ultradense Word Embeddings by Orthogonal Transformation"

14 / 14 papers shown
Title
Dialectograms: Machine Learning Differences between Discursive
  Communities
Dialectograms: Machine Learning Differences between Discursive Communities
Thyge R Enggaard
August Lohse
M. Pedersen
Sune Lehmann
13
2
0
11 Feb 2023
Locating Language-Specific Information in Contextualized Embeddings
Locating Language-Specific Information in Contextualized Embeddings
Sheng Liang
Philipp Dufter
Hinrich Schütze
30
7
0
16 Sep 2021
Building domain specific lexicon based on TikTok comment dataset
Building domain specific lexicon based on TikTok comment dataset
Jiaxiang Hao
13
3
0
16 Dec 2020
A Computational Analysis of Polarization on Indian and Pakistani Social
  Media
A Computational Analysis of Polarization on Indian and Pakistani Social Media
Aman Tyagi
Anjalie Field
P. Lathwal
Yulia Tsvetkov
Kathleen M. Carley
10
16
0
20 May 2020
Learning and Evaluating Emotion Lexicons for 91 Languages
Learning and Evaluating Emotion Lexicons for 91 Languages
Sven Buechel
Susanna Rücker
U. Hahn
22
37
0
12 May 2020
Improving Pre-Trained Multilingual Models with Vocabulary Expansion
Improving Pre-Trained Multilingual Models with Vocabulary Expansion
Hai Wang
Dian Yu
Kai Sun
Jianshu Chen
Dong Yu
30
41
0
26 Sep 2019
Analytical Methods for Interpretable Ultradense Word Embeddings
Analytical Methods for Interpretable Ultradense Word Embeddings
Philipp Dufter
Hinrich Schütze
29
25
0
18 Apr 2019
Attentive Mimicking: Better Word Embeddings by Attending to Informative
  Contexts
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
Timo Schick
Hinrich Schütze
22
47
0
02 Apr 2019
Uncovering divergent linguistic information in word embeddings with
  lessons for intrinsic and extrinsic evaluation
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
Mikel Artetxe
Gorka Labaka
I. Lopez-Gazpio
Eneko Agirre
16
41
0
06 Sep 2018
SemAxis: A Lightweight Framework to Characterize Domain-Specific Word
  Semantics Beyond Sentiment
SemAxis: A Lightweight Framework to Characterize Domain-Specific Word Semantics Beyond Sentiment
Jisun An
Haewoon Kwak
Yong-Yeol Ahn
25
64
0
14 Jun 2018
What do we need to build explainable AI systems for the medical domain?
What do we need to build explainable AI systems for the medical domain?
Andreas Holzinger
Chris Biemann
C. Pattichis
D. Kell
28
680
0
28 Dec 2017
W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis
W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis
Aitor García-Pablos
Montse Cuadros
German Rigau
32
194
0
22 May 2017
Semi-Supervised Affective Meaning Lexicon Expansion Using Semantic and
  Distributed Word Representations
Semi-Supervised Affective Meaning Lexicon Expansion Using Semantic and Distributed Word Representations
Areej M. Alhothali
Jesse Hoey
16
11
0
28 Mar 2017
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language
  Sentiment Classification
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification
Jan Deriu
Aurelien Lucchi
V. D. Luca
Aliaksei Severyn
Simon Müller
Mark Cieliebak
Thomas Hofmann
Martin Jaggi
17
133
0
07 Mar 2017
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