Concepedia

Word Embeddings

Word Embeddings is a computational technique in natural language processing that represents words as dense real-valued vectors in a continuous vector space, where the position of each word is determined by its semantic and syntactic relationships to other words.

7K

Publications

613.8K

Citations

16.5K

Authors

2.9K

Institutions

Publications per year

2017–2026

5.4K

Variants

Distributed Word RepresentationsWord Vectors

Parents

Children

Publications

7K

Glove: Global Vectors for Word Representation

Jeffrey Pennington, Richard Socher, Christopher D. Manning · 2014 · 33.8K citations

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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Kyunghyun Cho, Bart van Merriënboer, Çağlar Gülçehre et al. · 2014 · 24.4K citations · Full text

, , +14

Distributed Representations of Words and Phrases and their Compositionality

Tomáš Mikolov, Ilya Sutskever, Kai Chen et al. · arXiv (Cornell University) · 2013 · 18.1K citations · Full text

, , +15

Convolutional Neural Networks for Sentence Classification

Yoon Kim · 2014 · 13.8K citations · Full text

, , +16

Enriching Word Vectors with Subword Information

Piotr Bojanowski, Édouard Grave, Armand Joulin et al. · Transactions of the Association for Computational Linguistics · 2017 · 9.8K citations · Full text

, , +14

1–5 of 7K

Authors

16.5K

  1. CD
    Chris Dyer

    Carnegie Mellon University, United States

    30 publications · 9.2K citations

    24

    h-index

  2. IV
    Ivan Vulić

    University of Cambridge, United Kingdom

    33 publications · 2.2K citations

    22

    h-index

  3. EC
    Erik Cambria

    Nanyang Technological University, Singapore

    24 publications · 5.1K citations

    22

    h-index

  4. HS
    Hinrich Schütze

    Ludwig-Maximilians-Universität München, Germany

    41 publications · 1.9K citations

    21

    h-index

  5. YB
    Yoshua Bengio

    Université de Montréal, Canada

    21 publications · 29.6K citations

    19

    h-index

1–5 of 16.5K

Institutions

2.9K

  1. Carnegie Mellon University

    Pittsburgh, United States

    58 h-index

    348 publications

    63.5K citations

  2. Google (United States)

    Mountain View, United States

    57 h-index

    360 publications

    129.2K citations

  3. Tsinghua University

    Beijing, China

    52 h-index

    323 publications

    28.3K citations

  4. University of Cambridge

    Cambridge, United Kingdom

    46 h-index

    205 publications

    15.4K citations

  5. Chinese Academy of Sciences

    Beijing, China

    46 h-index

    319 publications

    45K citations

  6. Nanyang Technological University

    Singapore, Singapore

    44 h-index

    176 publications

    17.2K citations

  7. Microsoft (United States)

    Redmond, United States

    43 h-index

    163 publications

    39.1K citations

  8. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    38 h-index

    152 publications

    18.1K citations

1–8 of 2.9K

Venues

  1. arXiv (Cornell University)

    Repository · 871 publications · 90.8K citations

    111

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 162 publications · 19.1K citations

    55

    h-index

  3. IEEE Access

    162 publications · 10.3K citations

    50

    h-index

  4. Expert Systems with Applications

    81 publications · 6K citations

    43

    h-index

  5. Knowledge-Based Systems

    76 publications · 6.1K citations

    41

    h-index

1–5