Concepedia

Semi-supervised Relation Extraction

Semi-Supervised Relation Extraction is a relation extraction paradigm that, as a member of the broader family of supervised learning approaches, distinguishes itself by leveraging a small set of labeled instances together with a large pool of unlabeled data to iteratively improve relation detection through automated labeling and confidence-based filtering.

53

Publications

2.7K

Citations

187

Authors

77

Institutions

Publications per year

2017–2026

23

Parents

Publications

53

Coupled semi-supervised learning for information extraction

J. Andrew Carlson, Justin Betteridge, Richard C. Wang et al. · 2010 · 425 citations

, , +15

Semi-Supervised Classification for Extracting Protein Interaction Sentences using Dependency Parsing

Güneş Erkan, Arzucan Özgür, Dragomir Radev · 2007 · 136 citations

, , +17

Auto-generated materials database of Curie and Néel temperatures via semi-supervised relationship extraction

Callum J. Court, Jacqueline M. Cole · Scientific Data · 2018 · 133 citations · Full text

, , +17

Semi-supervised Relation Extraction with Large-scale Word Clustering

Ang Sun, Ralph Grishman, Satoshi Sekine · 2011 · 114 citations

, , +14

Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation

Qingyu Tan, Ruidan He, Lidong Bing et al. · Findings of the Association for Computational Linguistics: ACL 2022 · 2022 · 112 citations · Full text

, , +14

1–5 of 53

Authors

187

  1. RG
    Ralph Grishman

    New York University, United States

    3 publications · 150 citations

    3

    h-index

  2. AS
    Ang Sun

    New York University, United States

    2 publications · 138 citations

    2

    h-index

  3. KT
    Kentaro Torisawa

    National Institute of Information and Communications Technology, Japan

    2 publications · 56 citations

    2

    h-index

  4. JB
    Justin Betteridge

    Carnegie Mellon University, United States

    2 publications · 497 citations

    2

    h-index

  5. YX
    Yanghua Xiao

    Fudan University, China

    2 publications · 79 citations

    2

    h-index

1–5 of 187

Institutions

77

  1. Tsinghua University

    Beijing, China

    4 h-index

    14 publications

    772 citations

  2. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    10 publications

    2K citations

  3. University of Washington

    Seattle, United States

    3 h-index

    5 publications

    145 citations

  4. Beijing University of Posts and Telecommunications

    Beijing, China

    2 h-index

    5 publications

    50 citations

  5. National Institute of Information and Communications Technology

    Tokyo, Japan

    2 h-index

    13 publications

    350 citations

  6. National University of Singapore

    Singapore, Singapore

    2 h-index

    3 publications

    328 citations

  7. Wuhan University

    Wuhan, China

    2 h-index

    7 publications

    91 citations

  8. University of Illinois Urbana-Champaign

    Urbana, United States

    2 h-index

    4 publications

    113 citations

1–8 of 77

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 157 citations

    3

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 66 citations

    2

    h-index

  3. Artificial Intelligence in Medicine

    AIM · 1 publications · 16 citations

    1

    h-index

  4. Knowledge Discovery and Data Mining

    Conference · 1 publications · 11 citations

    1

    h-index

  5. Empirical Methods in Natural Language Processing

    Conference · 1 publications · 14 citations

    1

    h-index

1–5