958 Open source projects that are alternatives of or similar to Danlp

chatbot_ner: Named Entity Recognition for chatbots.

💫 Industrial-strength Natural Language Processing (NLP) in Python

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

simple rule based named entity recognition

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Named-Entity Recognition in Persian Language

Simple downloader for pre-trained word vectors

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

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Deep neural models for core NLP tasks (Pytorch version)

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

Named Entity Recognition based on dictionaries

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

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

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

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

👑 spaCy building blocks and visualizers for Streamlit apps

Github repo with tutorials to fine tune transformers for diff NLP tasks

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

A collection of notebooks for Natural Language Processing from NLP Town

Thai Natural Language Processing in Python.

A pythonic wrapper for Stanford CoreNLP.

Underthesea - Vietnamese NLP Toolkit

Kadot, the unsupervised natural language processing library.

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

A PyTorch implementation of GraphRel

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

Dilated CNNs for NER in TensorFlow

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

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

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

Word Embeddings for Information Retrieval

A fast, efficient universal vector embedding utility package.

Named Entity Recognition

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

A Vietnamese natural language processing toolkit (NAACL 2018)

👄 The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike

a sklearn wrapper for Google's BERT model

Code for PyCon JP 2019 talk "Python による日本語自然言語処理 〜系列ラベリングによる実世界テキスト分析〜"

Japanese IOB2 tagged corpus for Named Entity Recognition.

A comparison tool of Japanese tokenizers

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

Named Entity Recognition using multilayered bidirectional LSTM

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Official Stanford NLP Python Library for Many Human Languages

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.

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑

基于深度学习的自然语言处理库

Stanford CoreNLP: A Java suite of core NLP tools.

name entity recognition with recurrent neural network(RNN) in tensorflow

Implementation of Nested Named Entity Recognition using BERT

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

An algorithm to augment syntactic hierarchy into word embeddings

Arabic support for textblob