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Semantic sentence similarity: size does not always matter

Semantic sentence similarity: size does not always matter

16 June 2021
Danny Merkx
S. Frank
M. Ernestus
ArXiv (abs)PDFHTML

Papers citing "Semantic sentence similarity: size does not always matter"

5 / 5 papers shown
An Empirical Analysis of Speech Self-Supervised Learning at Multiple
  Resolutions
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions
Theo Clark
Benedetta Cevoli
Eloy de Jong
Timofey Abramski
Jamie Dougherty
SSL
218
0
0
31 Oct 2024
What Do Self-Supervised Speech Models Know About Words?
What Do Self-Supervised Speech Models Know About Words?Transactions of the Association for Computational Linguistics (TACL), 2023
Ankita Pasad
C. Chien
Shane Settle
Karen Livescu
SSL
476
55
0
30 Jun 2023
Bootstrapping meaning through listening: Unsupervised learning of spoken
  sentence embeddings
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddingsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jian Zhu
Zuoyu Tian
Yadong Liu
Cong Zhang
Chia-wen Lo
SSL
211
2
0
23 Oct 2022
Modelling word learning and recognition using visually grounded speech
Modelling word learning and recognition using visually grounded speech
Danny Merkx
Sebastiaan Scholten
S. Frank
M. Ernestus
O. Scharenborg
SSL
195
0
0
14 Mar 2022
Seeing the advantage: visually grounding word embeddings to better
  capture human semantic knowledge
Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledgeWorkshop on Cognitive Modeling and Computational Linguistics (CMCL), 2022
Danny Merkx
S. Frank
M. Ernestus
121
4
0
21 Feb 2022
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