nerusLarge silver standart Russian corpus with NER, morphology and syntax markup
Stars: ✭ 47 (+176.47%)
MLMANACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Stars: ✭ 59 (+247.06%)
CrossNERCrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)
Stars: ✭ 87 (+411.76%)
sib meta learnCode of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Stars: ✭ 56 (+229.41%)
LearningToCompare-TensorflowTensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.
Stars: ✭ 17 (+0%)
biaffine-nerNamed Entity Recognition as Dependency Parsing
Stars: ✭ 293 (+1623.53%)
SynLSTM-for-NERCode and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.
Stars: ✭ 26 (+52.94%)
brunoa deep recurrent model for exchangeable data
Stars: ✭ 34 (+100%)
simple-cnapsSource 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)
Stars: ✭ 88 (+417.65%)
2020CCF-NER2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案
Stars: ✭ 66 (+288.24%)
pytorch-meta-datasetA non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification
Stars: ✭ 39 (+129.41%)
Meta-GDN AnomalyDetectionImplementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
Stars: ✭ 22 (+29.41%)
SkillNERA (smart) rule based NLP module to extract job skills from text
Stars: ✭ 69 (+305.88%)
Black-Box-TuningICML'2022: Black-Box Tuning for Language-Model-as-a-Service
Stars: ✭ 99 (+482.35%)
Few-NERDCode and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
Stars: ✭ 317 (+1764.71%)
LaplacianShotLaplacian Regularized Few Shot Learning
Stars: ✭ 72 (+323.53%)
RerankNERNeural Reranking for Named Entity Recognition, accepted as regular paper at RANLP 2017
Stars: ✭ 22 (+29.41%)
FewShotDetection(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"
Stars: ✭ 188 (+1005.88%)
deep-atrous-nerDeep-Atrous-CNN-NER: Word level model for Named Entity Recognition
Stars: ✭ 35 (+105.88%)
sinkhorn-label-allocationSinkhorn 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.
Stars: ✭ 49 (+188.24%)
wink-nlpDeveloper friendly Natural Language Processing ✨
Stars: ✭ 312 (+1735.29%)
FSL-MateFSL-Mate: A collection of resources for few-shot learning (FSL).
Stars: ✭ 1,346 (+7817.65%)
Capricorn提供强大的NLP能力, low-code实现chatbot
Stars: ✭ 14 (-17.65%)
WARPCode for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/
Stars: ✭ 66 (+288.24%)
BiLSTM-CRF-NER-PyTorchThis repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.
Stars: ✭ 109 (+541.18%)
Awesome-Weak-Shot-LearningA curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
Stars: ✭ 142 (+735.29%)
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+1105.88%)
simple NERsimple rule based named entity recognition
Stars: ✭ 29 (+70.59%)
molminerPython library and command-line tool for extracting compounds from scientific literature. Written in Python.
Stars: ✭ 38 (+123.53%)
lingvo--Ner-ruNamed entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке
Stars: ✭ 38 (+123.53%)
wink-nerLanguage agnostic named entity recognizer
Stars: ✭ 32 (+88.24%)
genalogGenalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
Stars: ✭ 234 (+1276.47%)
verseagilityRamp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
Stars: ✭ 23 (+35.29%)
scikitcrf NERPython library for custom entity recognition using Sklearn CRF
Stars: ✭ 17 (+0%)
matching-networksMatching Networks for one-shot learning in tensorflow (NIPS'16)
Stars: ✭ 54 (+217.65%)
TweebankNLP[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset
Stars: ✭ 84 (+394.12%)
troveWeakly supervised medical named entity classification
Stars: ✭ 55 (+223.53%)
deviation-networkSource code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
Stars: ✭ 94 (+452.94%)
anonymisationAnonymization of legal cases (Fr) based on Flair embeddings
Stars: ✭ 85 (+400%)
FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
Stars: ✭ 18 (+5.88%)
renet[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification
Stars: ✭ 72 (+323.53%)
anonymization-apiHow to build and deploy an anonymization API with FastAPI
Stars: ✭ 51 (+200%)
presidio-researchThis package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
Stars: ✭ 62 (+264.71%)
ner-dPython module for Named Entity Recognition (NER) using natural language processing.
Stars: ✭ 14 (-17.65%)
parsbert-ner🤗 ParsBERT Persian NER Tasks
Stars: ✭ 15 (-11.76%)
nalafNLP framework in python for entity recognition and relationship extraction
Stars: ✭ 104 (+511.76%)