Concepedia

Zero-shot Relation Extraction

Zero-Shot Relation Extraction is a relation extraction paradigm that identifies semantic relations between entities in text without prior exposure to labeled examples of those relations during training, distinguishing it from supervised and few-shot approaches by relying on semantic generalization through external knowledge or representation alignment.

21

Publications

1.2K

Citations

85

Authors

36

Institutions

Publications per year

2017–2026

21

Variants

Zero-shot Re

Parents

Publications

21

Large language models are few-shot clinical information extractors

Monica Agrawal, Stefan Hegselmann, Hunter Lang et al. · 2022 · 297 citations · Full text

, , +16

Locating and Editing Factual Associations in GPT

Kevin Meng, David Bau, Alex Andonian et al. · arXiv (Cornell University) · 2022 · 175 citations · Full text

, , +15

Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction

Oscar Sainz, Oier López de Lacalle, Gorka Labaka et al. · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · 2021 · 97 citations · Full text

, , +10

ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning

Chih-Yao Chen, Cheng–Te Li · 2021 · 87 citations · Full text

, , +14

ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking

Tom Ayoola, Shubhi Tyagi, Joseph A. Fisher et al. · 2022 · 60 citations · Full text

, , +17

1–5 of 21

Authors

85

  1. OS
    Oscar Sainz

    University of the Basque Country, Spain

    2 publications · 124 citations

    2

    h-index

  2. HL
    Hunter Lang

    Microsoft (United States), United States

    2 publications · 345 citations

    2

    h-index

  3. SH
    Stefan Hegselmann

    University of Münster, Germany

    2 publications · 345 citations

    2

    h-index

  4. EA
    Eneko Agirre

    University of the Basque Country, Spain

    2 publications · 124 citations

    2

    h-index

  5. DS
    David Sontag

    Massachusetts Institute of Technology, United States

    2 publications · 345 citations

    2

    h-index

1–5 of 85

Institutions

36

  1. University of the Basque Country

    Leioa, Spain

    2 h-index

    9 publications

    593 citations

  2. Ohio Supercomputer Center

    Columbus, United States

    1 h-index

    3 publications

    156 citations

  3. University of California, Los Angeles

    Los Angeles, United States

    1 h-index

    2 publications

    44 citations

  4. University of California, Berkeley

    Berkeley, United States

    1 h-index

    1 publications

    38 citations

  5. Nanjing University of Science and Technology

    Nanjing, China

    1 h-index

    6 publications

    144 citations

  6. Xidian University

    Xi'an, China

    1 h-index

    3 publications

    78 citations

  7. Chongqing University of Posts and Telecommunications

    Chongqing, China

    1 h-index

    1 publications

    26 citations

  8. Beijing Academy of Artificial Intelligence

    Beijing, China

    1 h-index

    1 publications

    22 citations

1–8 of 36

Venues

  1. 2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 223 citations

    2

    h-index

  3. 2

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 22 citations

    1

    h-index

  5. Pattern Recognition

    1 publications · 26 citations

    1

    h-index

1–5