On the Relevance of Query Expansion Using Parallel Corpora and Word Embeddings to Boost Text Document Retrieval Precision
Alaidine Ben Ayed, Ismaïl Biskri · International Journal on Natural Language Computing · 2020
In this paper we implement a document retrieval system using the Lucene tool and we conduct some experiments in order to compare the efficiency of two different weighting schema: the well-known TF-IDF and the BM25.Then, we expand queries using a comparable corpus (wikipedia) and word embeddings.Obtained results show that the latter method (word embeddings) is a good way to achieve higher precision rates and retrieve more accurate documents.