This is the last post of the Entity Search with graph embeddings serie. In Part 2 and Part 3 we illustrated the core of the dissertation describing in detail the implementation of our solution pipeline. In this final part we will see some evaluation measures and results. We will draw some conclusions explaining which were … Continue reading Entity Search with graph embeddings – Part 4 – Evaluation and conclusion
Entity Search with graph embeddings – Part 3 – Documents and retrieval
In this post we want to get to the heart of the process of virtual documents creation. As we explained in Part 1, these documents are essential for the retrieval phase and for its performances. This part of the pipeline is, indeed, the one where we create our own approaches in many different versions. Summarizing … Continue reading Entity Search with graph embeddings – Part 3 – Documents and retrieval
Entity Search with graph embeddings – Part 2 – Embeddings and clustering
Let's continue our journey into this entity search thesis! In Part 1 we have described what entities and entity search are. We have explained how this search is implemented in the state-of-the-art. We have also introduced the new approach of this dissertation specifying also the dataset and the test collection used. Finally we have described … Continue reading Entity Search with graph embeddings – Part 2 – Embeddings and clustering
Entity Search with graph embeddings – Part 1 – Overview
This series of blog posts wants to describe my master degree dissertation done with the supervision of Prof. Gianmaria Silvello at the University of Padova. The main focus of this project is in the use of graph embeddings in order to create virtual documents for the Information Retrieval Entity Search task. This thesis description is … Continue reading Entity Search with graph embeddings – Part 1 – Overview