268 Open source projects that are alternatives of or similar to Few-NERD

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

An NER tool for ancient place names based on Pleiades and Spacy.

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

PyTorch code for SpERT: Span-based Entity and Relation Transformer

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

Awesome Few-shot learning

🧚‍♀️ Chatbot library turning conversations into actions, locally, in the browser.

NER Task with KoBERT (with Naver NLP Challenge dataset)

Code and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.

Better analyze information, in all its forms

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Ner with Bert

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

COVID-19 Named Entity Recognition for Vietnamese (NAACL 2021)

System for Medical Concept Extraction and Linking

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

ChineseNER based on BERT, with BiLSTM+CRF layer

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

LibFewShot: A Comprehensive Library for Few-shot Learning.

Python library for custom entity recognition using Sklearn CRF

🌈 Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer.

Dialogue Knowledge Transfer Networks (DiKTNet)

Source code for SEKE 2020 paper "SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER"

Named-Entity Recognition in Persian Language

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Biomedical NLP Corpus or Datasets.

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset

Hierarchically-Refined Label Attention Network for Sequence Labeling

A Pre-trained BERT on StackOverflow Corpus

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

See http://github.com/onurgu/joint-ner-and-md-tagger This repository is basically a Bi-LSTM based sequence tagger in both Tensorflow and Dynet which can utilize several sources of information about each word unit like word embeddings, character based embeddings and morphological tags from an FST to obtain the representation for that specific wor…

Dilated CNNs for NER in TensorFlow

Learning To Compare For Text , Few shot learning in text classification

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Named Entity Recognition based on dictionaries

awesome few shot / meta learning papers

A PyTorch implementation of GraphRel

CKIP CoreNLP Toolkits

百度NLP：分词，词性标注，命名实体识别，词重要性

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Character Based Named Entity Recognition.

Laplacian Regularized Few Shot Learning

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"