Neologism dictionary based on the language resources on the Web for mecab-ipadic

Textpipe: clean and extract metadata from text

:boom: displaCy-ent.js: An open-source named entity visualiser for the modern web

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

🏖TagEditor - Annotation tool for spaCy

Python/Django based webapps and web user interfaces for search, structure (meta data management like thesaurus, ontologies, annotations and named entities) and data import (ETL like text extraction, OCR and crawling filesystems or websites)

Neologism dictionary based on the language resources on the Web for mecab-unidic

Kyoto University Web Document Leads Corpus

Named-Entity Recognition in Persian Language

Easy named entity extraction

General Architecture for Text Engineering

AQMAR Arabic Tagger: Sequence tagger with cost-augmented structured perceptron training

Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.

Code for ACL '19 paper: Towards Improving Neural Named Entity Recognition with Gazetteers

Named entity annotation tool

Solr client and user interface for search

This is a prototype of a multi-lingual suite for named-entity recognition in Python.

Java library for fast multiple strings matchings. Uses internally Aho-Corasick or Commentz-Walter.

Annotated Fuman Kaitori Center Corpus

Named-Entity Recognition for Norwegian Bokmål and Nynorsk

Entity linker for the newspaper collection of the National Library of the Netherlands. Links named entity mentions to DBpedia descriptions using either a binary SVM classifier or a neural net.

Web interface to manually annotate named entity mentions in newspaper articles with the correct DBpedia link(s), if any. Produces labeled data sets for training and evaluating the DAC Entity Linker.

Named-entity chunker for Norwegian

An improved tool for named entity recognition for Polish based on deep learning.

Named Entity Resolution, Extraction, and Linking of Lexically Similar Names

custom models for named-entity recognition

Summarize documents based on content extracted via Rosette API

NativeExtractor is a powerful tool analyzing plaintext and extracting named entities from it.

For this problem, we proposed the use of bidirectional-LSTM’s(Long Short Term Memory) with 1-D CNN layer to classify patient notes at character level and at word level. The 1-D CNN is employed to scale back the training time. In order to improve the performance, we will also feed the network combined word embedding consisting of Pre-trained word2vec 100 dimension word embedding trained on the Twitter ADR Dataset database and character embedding generated by a Char-CNN for Named Entity Recognition

Wiki(pedia/data/dbpedia) entity fetcher