ontoclue

Hybrid approach combining dictionary-based NER and doc2vec

An approach exploring and assessing literature-based doc-2-doc recommendations using word2vec combined with doc2vec, and applying it to TREC and RELISH datasets

An approach exploring and assessing literature-based doc-2-doc recommendations using a doc2vec and applying to the RELISH dataset.

This repository contains the code for the Docker version of the OntoClue Project.

An approach exploring and assessing literature-based doc-2-doc recommendations using word2vec and word mover's distance and applying it to RELISH dataset.

An approach exploring and assessing literature-based doc-2-doc recommendations using word2vec and applying it to the RELISH dataset

A collection of hybrid approaches combining Word2Vec, Doc2Vec, FastText, and ontology-based background knowledge to enhance document similarity, relevance, and recommendation.

An approach exploring and assessing literature-based doc-2-doc recommendations using fastText and applying it to the RELISH dataset

A dictionary-based approach to NER using whatizit for text-mining

An approach utilizing a word mover's distance solution to generate word embeddings from the RELISH dataset as part to explore document-to-document similarity

An approach exploring and assessing literature-based doc-2-doc recommendations using doc2vec and applying it to the RELISH dataset

An approach exploring and assessing literature-based doc-2-doc recommendations using BERT embeddings, and applying it to TREC and RELISH datasets

An approach exploring and assessing literature-based doc-2-doc recommendations using fastText and applying to the RELISH dataset.