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

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GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

Weakly supervised medical named entity classification

Trove Trove is a research framework for building weakly supervised (bio)medical named entity recognition (NER) and other entity attribute classifiers

Chinese named entity recognization with BiLSTM using Keras

Chinese named entity recognization (Bilstm with Keras) Project Structure ./ ├── README.md ├── data │   ├── README.md │   ├── data 数据集 │   │   ├─

[EMNLP 2021] MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations

MuVER This repo contains the code and pre-trained model for our EMNLP 2021 paper: MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity

Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"

LADA This repo contains codes for the following paper: Jiaao Chen*, Zhenghui Wang*, Ran Tian, Zichao Yang, Diyi Yang: Local Additivity Based Data Augm

Preprocessed Datasets for our Multimodal NER paper

Unified Multimodal Transformer (UMT) for Multimodal Named Entity Recognition (MNER) Two MNER Datasets and Codes for our ACL'2020 paper: Improving Mult

SpanNER: Named EntityRe-/Recognition as Span Prediction
SpanNER: Named EntityRe-/Recognition as Span Prediction

SpanNER: Named EntityRe-/Recognition as Span Prediction Overview | Demo | Installation | Preprocessing | Prepare Models | Running | System Combination

 Few-NERD: Not Only a Few-shot NER Dataset
Few-NERD: Not Only a Few-shot NER Dataset

Few-NERD: Not Only a Few-shot NER Dataset This is the source code of the ACL-IJCNLP 2021 paper: Few-NERD: A Few-shot Named Entity Recognition Dataset.

A Unified Generative Framework for Various NER Subtasks.

This is the code for ACL-ICJNLP2021 paper A Unified Generative Framework for Various NER Subtasks. Install the package in the requirements.txt, then u

Comments
  • [Paper to Add] GraphIE (NAACL long paper)

    [Paper to Add] GraphIE (NAACL long paper)

    Hi,

    First of all, thank you for creating this handy list!

    Can you add this NER paper?

    • GraphIE: A Graph-Based Framework for Information Extraction
    • Concept: GCN, coreference consistency
    • link: https://arxiv.org/abs/1810.13083

    Again, thank you for maintaining such an awesome repo!

    Best, Zhijing

    opened by zhijing-jin 4
  • NER transfer learning dataset

    NER transfer learning dataset

    We just released Finnish and Arabic dataset that is compatible with doing transfer learning-based training from conll datasets. https://github.com/ntunlp/Zero-Shot-Cross-Lingual-NER

    opened by sbmaruf 1
  • fix test set boundaries for conll++ dataset

    fix test set boundaries for conll++ dataset

    There was an error when preprocessing the DOCSTART boundaries in this dataset. A fix was pushed in the original repo (https://github.com/ZihanWangKi/CrossWeigh/pull/4). Extremely sorry that I forgot a separate file was maintained here, so I am copying the corrected file.

    opened by ZihanWangKi 0
  • Add CoNLL++

    Add CoNLL++

    Hi Authors,

    CoNLL++ views ner (CoNLL03) as a task to train with noisy annotations and test with gold-standard annotations. Specifically, we manually re-annotated the whole test set such that each sentence is annotated by at least two annotators. All the inconsistent annotations went through a final check and we ended up correcting about 5% of the test set (186 sentences). Here is the link to our github repo: https://github.com/ZihanWangKi/CrossWeigh.

    opened by ZihanWangKi 0
Owner
Pengfei Liu
Postdoc in the Language Technologies Institute (LTI) at Carnegie Mellon University
Pengfei Liu
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel This repository is the official PyTorch implementation of BSRDM w

Zongsheng Yue 69 Jan 5, 2023
An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

DeepNER An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models. This repository contains complex Deep

Derrick 9 May 30, 2022
Code for Two-stage Identifier: "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition"

Code for Two-stage Identifier: "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition", accepted at ACL 2021. For details of the model and experiments, please see our paper.

tricktreat 87 Dec 16, 2022
[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

CLNER The code is for our ACL-IJCNLP 2021 paper: Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning CLNER is a

null 71 Dec 8, 2022
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data arXiv This is the code base for weakly supervised NER. We provide a

Amazon 92 Jan 4, 2023
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning

structshot Code and data for paper "Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning", Yi Yang and Arz

ASAPP Research 47 Dec 27, 2022
[EMNLP 2021] Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training

RoSTER The source code used for Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training, p

Yu Meng 60 Dec 30, 2022
Chinese clinical named entity recognition using pre-trained BERT model

Chinese clinical named entity recognition (CNER) using pre-trained BERT model Introduction Code for paper Chinese clinical named entity recognition wi

Xiangyang Li 109 Dec 14, 2022
Source Code For Template-Based Named Entity Recognition Using BART

Template-Based NER Source Code For Template-Based Named Entity Recognition Using BART Training Training train.py Inference inference.py Corpus ATIS (h

null 174 Dec 19, 2022
“Data Augmentation for Cross-Domain Named Entity Recognition” (EMNLP 2021)

Data Augmentation for Cross-Domain Named Entity Recognition Authors: Shuguang Chen, Gustavo Aguilar, Leonardo Neves and Thamar Solorio This repository

RiTUAL@UH 18 Sep 10, 2022