General Architecture for Text Engineering
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Updated
Mar 23, 2016 - Python
General Architecture for Text Engineering
A recurrent neural network implemented in Keras specially designed for NER in HTML documents.
Text miner for PubMed abstracts
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.
Entity Linking on a collection of web pages
A Reference Training Corpus of Serbian
Named Entity Resolution, Extraction, and Linking of Lexically Similar Names
Summarize documents based on content extracted via Rosette API
Python example for converting Rosette named entity extraction results to other formats.
Named Entity Recognition for Real Estate Text | COL772 (NLP) @ IIT Delhi
Named-Entity Recognition for Norwegian Bokmål and Nynorsk
Zero-Shot Open Entity Typing as Type-Compatible Grounding, EMNLP'18.
Post processing for speech recognition
custom models for named-entity recognition
An improved tool for named entity recognition for Polish based on deep learning.
Named Entity Recognition Using Python spaCy of Elasticsearch Index Data
Textpipe: clean and extract metadata from text
Code for ACL '19 paper: Towards Improving Neural Named Entity Recognition with Gazetteers
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.
Extract information from text
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