An elaborate and exhaustive paper list for Named Entity Recognition (NER)

Overview

Named-Entity-Recognition-NER-Papers

by Pengfei Liu, Jinlan Fu and other contributors.

An elaborate and exhaustive paper list for Named Entity Recognition (NER), covering papers from seven top conferences (ACL / EMNLP / NAACL / Coling / ICLR / AAAI / IJCAI) and eight years (2013-2020).

What can I get here?

What can I do here?

  • If you have a new "research point"? -- Tell us

    • Update the file ner_concept.md and Pull requests
    • Or you could directly propose an Issues
  • If you have a new "paper" or more reasonable annotations?

    • Add your paper (If possible, with annotated concepts) into paper_with_concept and Pull requests
    • Or you could directly propose an Issues
  • If you have a new "dataset"?

    • Add your dataset (If possible, with brief description) into ner_data and Pull requests
    • Or you could directly propose an Issues

Acknowledgments

Owner
Pengfei Liu
Postdoc in the Language Technologies Institute (LTI) at Carnegie Mellon University
Pengfei Liu
TC-GNN with Pytorch integration

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Augmented Traffic Control: A tool to simulate network conditions

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CRISCE: Automatically Generating Critical Driving Scenarios From Car Accident Sketches

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Laughing 229 Dec 17, 2022
Image De-raining Using a Conditional Generative Adversarial Network

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Record radiologists' eye gaze when they are labeling images.

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Data Preparation, Processing, and Visualization for MoVi Data

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Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

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Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

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Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

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Chunkmogrify: Real image inversion via Segments

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