This is a prototype of a multi-lingual suite for named-entity recognition in Python.
-
Updated
Apr 25, 2024 - Python
This is a prototype of a multi-lingual suite for named-entity recognition in Python.
Kyoto University Web Document Leads Corpus
Annotated Fuman Kaitori Center Corpus
Extract named entities from data in files of various formats.
WebApp to extract topic info from Facebook post comments
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.
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
Extract information from text
Expanding sentences in a given text corpus. The code checks for NE in sentences and create new sentences by injecting new NEs from NE list.
Code for ACL '19 paper: Towards Improving Neural Named Entity Recognition with Gazetteers
Textpipe: clean and extract metadata from text
Named Entity Recognition Using Python spaCy of Elasticsearch Index Data
An improved tool for named entity recognition for Polish based on deep learning.
custom models for named-entity recognition
Post processing for speech recognition
Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.
Named-Entity Recognition for Norwegian Bokmål and Nynorsk
Named Entity Recognition for Real Estate Text | COL772 (NLP) @ IIT Delhi
Python example for converting Rosette named entity extraction results to other formats.
Summarize documents based on content extracted via Rosette API
Add a description, image, and links to the named-entities topic page so that developers can more easily learn about it.
To associate your repository with the named-entities topic, visit your repo's landing page and select "manage topics."