doc-2-doc relevance assessment on PMIDs used in the TREC 2005 Genomics track
-
Updated
Nov 21, 2022 - Jupyter Notebook
#
doc2doc-relevance
Here are 5 public repositories matching this topic...
An approach exploring and assessing literature-based doc-2-doc recommendations using word2vec and word mover's distance and applying it to RELISH dataset.
python
word-embeddings
document-similarity
phase-one
word-movers-distance
ontoclue
doc2doc-relevance
-
Updated
Sep 23, 2024 - Python
Hybrid approach combining dictionary-based NER and doc2vec
-
Updated
Apr 10, 2024 - Jupyter Notebook
An approach exploring and assessing literature-based doc-2-doc recommendations using a doc2vec and applying to the RELISH dataset.
-
Updated
Sep 23, 2024 - Python
An approach exploring and assessing literature-based doc-2-doc recommendations using word2vec combined with doc2vec, and applying it to TREC and RELISH datasets
-
Updated
Sep 30, 2024 - Python
Improve this page
Add a description, image, and links to the doc2doc-relevance topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the doc2doc-relevance topic, visit your repo's landing page and select "manage topics."