361 Open source projects that are alternatives of or similar to spacy-server

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

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

Hierarchically-Refined Label Attention Network for Sequence Labeling

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

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

This 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.

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

How to build and deploy an anonymization API with FastAPI

CKIP CoreNLP Toolkits

百度NLP：分词，词性标注，命名实体识别，词重要性

A pythonic wrapper for Stanford CoreNLP.

小时候练手的nlp项目

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

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。

Named Entity Recognition based on dictionaries

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

Natural Language Processing Toolkit in Golang

👑 spaCy building blocks and visualizers for Streamlit apps

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.

State of the Art Natural Language Processing

👩‍🏫 Advanced NLP with spaCy: A free online course

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

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…

Part-of-Speech Tagging Models in Python

Character Based Named Entity Recognition.

Named-Entity Recognition in Persian Language

German lemmatization with IWNLP as extension for spaCy

Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html

Get identifiers, paths, URLs and words from the previous command output and use them for the next command in xonsh shell.

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

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

A Python implementation of Farasa toolkit

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Kaggle Competition: Using deep learning to solve quora's question pairs problem

Japanese morphological analyzer on .NET

Pipeline component for spaCy (and other spaCy-wrapped parsers such as spacy-stanza and spacy-udpipe) that adds CoNLL-U properties to a Doc and its sentences and tokens. Can also be used as a command-line tool.

Python library for custom entity recognition using Sklearn CRF

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

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

NLP in Python with Deep Learning

A (smart) rule based NLP module to extract job skills from text

Topic modelling on financial news with Natural Language Processing

A Domain Specific Language (DSL) for building language patterns. These can be later compiled into spaCy patterns, pure regex, or any other format

CUI-based Tree Visualizer for Universal Dependencies and Immediate Catena Analysis

General Architecture for Text Engineering

Port of PragmaticSegmenter for sentence boundary detection

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

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

sequence tagging for NER for ULMFiT

Biomedical NLP Corpus or Datasets.

A Pre-trained BERT on StackOverflow Corpus

Грамматический Словарь Русского Языка (+ английский, японский, etc)

spaCy pipeline component for adding text readability meta data to Doc objects.

💙 Emoji handling and meta data for spaCy with custom extension attributes

Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)

Sequence Labeling in Tensorflow

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

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package.

Text pair classification

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"