Concepedia

Weakly Supervised Information Extraction

Weakly Supervised Information Extraction is an information extraction paradigm that learns to identify and extract structured factual data from unstructured text using limited or imprecise supervision, typically relying on heuristic labeling, distant supervision, or partial annotations rather than manually labeled, fine-grained training examples.

64

Publications

4.7K

Citations

217

Authors

78

Institutions

Publications per year

2017–2026

30

Parents

Publications

64

Knowledge-Based Weak Supervision for Information Extraction of Overlapping Relations

Raphael Hoffmann, Congle Zhang, Xiao Ling et al. · 2011 · 923 citations

, , +12

Constructing biological knowledge bases by extracting information from text sources.

Mark Craven, Johan Kumlien · PubMed · 1999 · 597 citations

, , +12

Weakly supervised learning of biomedical information extraction from curated data

Suvir Jain, Rahul Kashyap, Tsung-Ting Kuo et al. · BMC Bioinformatics · 2016 · 459 citations · Full text

, , +13

Learning to Extract Relations from the Web using Minimal Supervision

Răzvan Bunescu, Raymond J. Mooney · 2007 · 269 citations

, , +10

Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs

Zornitsa Kozareva, Ellen Riloff, Eduard Hovy · 2008 · 197 citations

, , +14

1–5 of 64

Authors

217

  1. MP
    Marius Paşca

    Google (United States), United States

    5 publications · 307 citations

    5

    h-index

  2. MC
    Mark Craven

    University of Wisconsin–Madison, United States

    3 publications · 674 citations

    3

    h-index

  3. LZ
    Luke Zettlemoyer

    University of Washington, United States

    3 publications · 977 citations

    3

    h-index

  4. EH
    Eduard Hovy

    Carnegie Mellon University, United States

    3 publications · 359 citations

    3

    h-index

  5. EA
    Enrique Alfonseca

    Google (United States), United States

    2 publications · 51 citations

    2

    h-index

1–5 of 217

Institutions

78

  1. Carnegie Mellon University

    Pittsburgh, United States

    7 h-index

    13 publications

    1.6K citations

  2. Google (United States)

    Mountain View, United States

    5 h-index

    6 publications

    319 citations

  3. University of Illinois Urbana-Champaign

    Urbana, United States

    5 h-index

    14 publications

    609 citations

  4. University of Southern California

    Los Angeles, United States

    3 h-index

    3 publications

    248 citations

  5. University of California San Diego

    San Diego, United States

    3 h-index

    9 publications

    2.8K citations

  6. Amazon (United States)

    Seattle, United States

    2 h-index

    10 publications

    144 citations

  7. National University of Singapore

    Singapore, Singapore

    2 h-index

    7 publications

    386 citations

  8. University of Michigan

    Ann Arbor, United States

    2 h-index

    4 publications

    141 citations

1–8 of 78

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 78 citations

    5

    h-index

  2. Neural Networks

    2 publications · 42 citations

    2

    h-index

  3. Science and Technology of Advanced Materials

    STAM · 1 publications · 24 citations

    1

    h-index

  4. Language Resources and Evaluation

    1 publications · 26 citations

    1

    h-index

  5. Machine Learning

    1 publications · 18 citations

    1

    h-index

1–5