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Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift

Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift

2 December 2019
Matej Martinc
Petra Kralj Novak
Senja Pollak
ArXivPDFHTML

Papers citing "Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift"

7 / 7 papers shown
Title
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Yu Sun
Shuohuan Wang
Yukun Li
Shikun Feng
Hao Tian
Hua Wu
Haifeng Wang
CLL
87
809
0
29 Jul 2019
Short-Term Meaning Shift: A Distributional Exploration
Short-Term Meaning Shift: A Distributional Exploration
Marco Del Tredici
Raquel Fern´andez
Gemma Boleda
106
50
0
10 Sep 2018
SentencePiece: A simple and language independent subword tokenizer and
  detokenizer for Neural Text Processing
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
Taku Kudo
John Richardson
178
3,514
0
19 Aug 2018
Incremental Skip-gram Model with Negative Sampling
Incremental Skip-gram Model with Negative Sampling
Nobuhiro Kaji
Hayato Kobayashi
37
34
0
13 Apr 2017
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures
  of Semantic Change
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change
William L. Hamilton
J. Leskovec
Dan Jurafsky
55
229
0
09 Jun 2016
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
89
917
0
30 May 2016
Temporal Analysis of Language through Neural Language Models
Temporal Analysis of Language through Neural Language Models
Yoon Kim
Yi-I Chiu
Kentaro Hanaki
Darshan Hegde
Slav Petrov
MILM
78
342
0
14 May 2014
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