There are 5 repositories under named-entities topic.
Neologism dictionary based on the language resources on the Web for mecab-ipadic
: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
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
Named-Entity Recognition in Persian Language
General Architecture for Text Engineering
AQMAR Arabic Tagger: Sequence tagger with cost-augmented structured perceptron training
ANETAC: Arabic Named Entity Transliteration and Classification Dataset
Code for ACL '19 paper: Towards Improving Neural Named Entity Recognition with Gazetteers
Named entity annotation tool
This is a prototype of a multi-lingual suite for named-entity recognition in Python.
Solr client and user interface for search
Java library for fast multiple strings matchings. Uses internally Aho-Corasick or Commentz-Walter.
Annotated Fuman Kaitori Center Corpus
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.
Named-Entity Recognition for Norwegian BokmĂĄl and Nynorsk
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.
Summarize documents based on content extracted via Rosette API
Wiki(pedia/data/dbpedia) entity fetcher
A medical dialogue annotation tool that supports multi-level annotation for doctor-patient conversations, including named entities, dialog intents, and medical reports.
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
An improved tool for named entity recognition for Polish based on deep learning.
A simple example on Named Entity Recognition in Java
Named Entities (Rasa-like) syntax Annotator for vim editor
NativeExtractor is a powerful tool analyzing plaintext and extracting named entities from it.
Entity resolution for Elasticsearch.