467 Open source projects that are alternatives of or similar to CrossNER

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Learning Named Entity Tagger from Domain-Specific Dictionary

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Named Entity Recognition for biomedical entities

Python library and command-line tool for extracting compounds from scientific literature. Written in Python.

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

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

PyTorch repository for text categorization and NER experiments in Turkish and English.

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

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

基于Pytorch和torchtext的知识图谱深度学习框架。

👑 spaCy building blocks and visualizers for Streamlit apps

Sequence Labeling in Tensorflow

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)

An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

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

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

BNLP is a natural language processing toolkit for Bengali Language.

Named Entity Recognition (LSTM + CRF) - Tensorflow

Python library for custom entity recognition using Sklearn CRF

A Vietnamese natural language processing toolkit (NAACL 2018)

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده

a sklearn wrapper for Google's BERT model

ChineseNER based on BERT, with BiLSTM+CRF layer

Deep neural models for core NLP tasks (Pytorch version)

BERT for Multitask Learning

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Snips Python library to extract meaning from text

中文命名实体识别，实体抽取，tensorflow，pytorch，BiLSTM+CRF

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

LSTM-CRF for NER with ConLL-2002 dataset

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

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

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity

A very simple framework for state-of-the-art Natural Language Processing (NLP)

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

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

Hierarchically-Refined Label Attention Network for Sequence Labeling

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

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

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.

Ner with Bert

Named Entity Recognition based on dictionaries

NER Task with KoBERT (with Naver NLP Challenge dataset)

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

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

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

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

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