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Lacking the embedding of a word? Look it up into a traditional
  dictionary

Lacking the embedding of a word? Look it up into a traditional dictionary

24 September 2021
Elena Sofia Ruzzetti
Leonardo Ranaldi
Michele Mastromattei
Francesca Fallucchi
Fabio Massimo Zanzotto
ArXivPDFHTML

Papers citing "Lacking the embedding of a word? Look it up into a traditional dictionary"

4 / 4 papers shown
Title
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
181
824
0
03 May 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
703
6,435
0
26 Sep 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
218
29,632
0
16 Jan 2013
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
56
2,925
0
04 Mar 2010
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