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A State-of-the-Art of Semantic Change Computation

A State-of-the-Art of Semantic Change Computation

30 January 2018
Xuri Tang
ArXiv (abs)PDFHTML

Papers citing "A State-of-the-Art of Semantic Change Computation"

7 / 7 papers shown
Title
Dynamic Bernoulli Embeddings for Language Evolution
Dynamic Bernoulli Embeddings for Language Evolution
Maja R. Rudolph
David M. Blei
BDL
67
34
0
23 Mar 2017
Dynamic Word Embeddings for Evolving Semantic Discovery
Dynamic Word Embeddings for Evolving Semantic Discovery
Zijun Yao
Yifan Sun
Weicong Ding
Nikhil S. Rao
Hui Xiong
AI4TS
60
223
0
02 Mar 2017
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change
William L. Hamilton
J. Leskovec
Dan Jurafsky
109
923
0
30 May 2016
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li
Dan Jurafsky
74
234
0
02 Jun 2015
Statistically Significant Detection of Linguistic Change
Statistically Significant Detection of Linguistic Change
Vivek Kulkarni
Rami Al-Rfou
Bryan Perozzi
Steven Skiena
117
473
0
12 Nov 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
402
33,565
0
16 Oct 2013
A State of the Art of Word Sense Induction: A Way Towards Word Sense
  Disambiguation for Under-Resourced Languages
A State of the Art of Word Sense Induction: A Way Towards Word Sense Disambiguation for Under-Resourced Languages
M. Nasiruddin
53
27
0
05 Oct 2013
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