Concepedia

Attention-based Extraction

Attention-Based Extraction is a keyword extraction method that utilizes attention mechanisms to selectively weigh the importance of words in a text, thereby identifying the most relevant keywords based on contextual relevance and semantic contribution.

56

Publications

2.2K

Citations

241

Authors

99

Institutions

Publications per year

2017–2026

47

Parents

Publications

56

Tomato Leaf Disease Diagnosis Based on Improved Convolution Neural Network by Attention Module

Shengyi Zhao, Yun Peng, Jizhan Liu et al. · Agriculture · 2021 · 223 citations · Full text

, , +14

Efficient visual attention based framework for extracting key frames from videos

Naveed Ejaz, Irfan Mehmood, Sung Wook Baik · Signal Processing Image Communication · 2012 · 172 citations

, , +13

Hierarchical attention networks for information extraction from cancer pathology reports

Shang Gao, M. Todd Young, John X. Qiu et al. · Journal of the American Medical Informatics Association · 2017 · 147 citations · Full text

, , +17

Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph

Injy Sarhan, Marco Spruit · Knowledge-Based Systems · 2021 · 104 citations · Full text

, , +12

Attention-based bidirectional gated recurrent unit neural networks for well logs prediction and lithology identification

Lili Zeng, Weijian Ren, Liqun Shan · Neurocomputing · 2020 · 96 citations

, , +14

1–5 of 56

Authors

241

  1. SW
    Sung Wook Baik

    Sejong University, South Korea

    2 publications · 219 citations

    2

    h-index

  2. SX
    Shi Xiong Wang

    Northwest University, China

    1 publications · 41 citations

    1

    h-index

  3. DC
    Dong Cao

    Michigan State University, United States

    1 publications · 16 citations

    1

    h-index

  4. LZ
    Lili Zeng

    Northeast Petroleum University, China

    1 publications · 96 citations

    1

    h-index

  5. XY
    Xinhui Yu

    University of British Columbia, Canada

    1 publications · 29 citations

    1

    h-index

1–5 of 241

Institutions

99

  1. National University of Defense Technology

    Changsha, China

    3 h-index

    14 publications

    692 citations

  2. Sun Yat-sen University

    Guangzhou, China

    2 h-index

    3 publications

    90 citations

  3. Xi'an Jiaotong University

    Xi'an, China

    2 h-index

    2 publications

    53 citations

  4. Google (United States)

    Mountain View, United States

    2 h-index

    7 publications

    246 citations

  5. University of Science and Technology of China

    Hefei, China

    2 h-index

    2 publications

    89 citations

  6. Beijing University of Posts and Telecommunications

    Beijing, China

    2 h-index

    5 publications

    85 citations

  7. Sejong University

    Seoul, South Korea

    2 h-index

    6 publications

    657 citations

  8. German Research Centre for Artificial Intelligence

    Kaiserslautern, Germany

    2 h-index

    3 publications

    72 citations

1–8 of 99

Venues

  1. IEEE Access

    5 publications · 218 citations

    5

    h-index

  2. Neural Computing and Applications

    2 publications · 37 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Computational Intelligence and Neuroscience

    1 publications · 14 citations

    1

    h-index

1–5