267 Open source projects that are alternatives of or similar to Bilstm Lan

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.

🦜 Containerized HTTP API for industrial-strength NLP via spaCy and sense2vec

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

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

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

基于 TensorFlow & PaddlePaddle 的通用序列标注算法库（目前包含 BiLSTM+CRF, Stacked-BiLSTM+CRF 和 IDCNN+CRF，更多算法正在持续添加中）实现中文分词（Tokenizer / segmentation）、词性标注（Part Of Speech, POS）和命名实体识别（Named Entity Recognition, NER）等序列标注任务。

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

百度NLP：分词，词性标注，命名实体识别，词重要性

Learning Named Entity Tagger from Domain-Specific Dictionary

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

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

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

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

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.

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

State of the Art Natural Language Processing

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

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

Sequence Labeling in Tensorflow

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

小时候练手的nlp项目

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

Deep neural models for core NLP tasks (Pytorch version)

A pythonic wrapper for Stanford CoreNLP.

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.

The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/

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

Named Entity Recognition data for Europeana Newspapers

👩‍🏫 Advanced NLP with spaCy: A free online course

Named Entity Recognition based on dictionaries

پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

a sklearn wrapper for Google's BERT model

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

Dilated CNNs for NER in TensorFlow

System for Medical Concept Extraction and Linking

GERBIL - General Entity annotatoR Benchmark

data resource untuk NLP bahasa indonesia

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

Helsinki Prosody Corpus and A System for Predicting Prosodic Prominence from Text

A PyTorch implementation of GraphRel

基于BI-LSTM+CRF的中文命名实体识别 Pytorch

基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

Multi-Task Deep Neural Networks for Natural Language Understanding

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

BNLP is a natural language processing toolkit for Bengali Language.

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

Vietnamese NLP Toolkit for Node

A fast and accurate POS and morphological tagging toolkit (EACL 2014)

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 BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

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

Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database

A curated list of NLP resources for Hungarian

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.