Experimental results of semantic similarity methods
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://data.mendeley.com/datasets/9vg9tr6xvm
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资源简介：
This dataset collects data used for the comparison of the following seven semantic similarity methods:
1. SemSimp with a manual taxonomy and human-annotated documents.
2. SemSimAI with an automatic taxonomy and automatically annotated documents using BERTopic.
3. SemSimAI with an automatic taxonomy and automatically annotated documents using recursive k-means clustering with Word2Vec embeddings.
4. SemSimAI with an automatic taxonomy and automatically annotated documents using recursive k-means clustering with TF-IDF vectors.
5. Cosine similarity with document representations from TF-IDF vectors.
6. Cosine similarity with document representations from BERT embeddings.
7. Cosine similarity with document representations from Word2Vec embeddings.
创建时间：
2025-03-26
