This report explains and analyzes the system developed by Team FADERIC for the LongEval Lab at CLEF 2023, Task 1 - LongEval-Retrieval. The team members are all students following the Search Engines course a.y. 2022/23 at the Computer Engineering master degree at University of Padua. The system developed is a search engine that has to retrieve documents from a corpus, composed of original files in French language and automatically translated files in English language. The produced IR system exploits the query expansion technique, such as word N-grams and synonyms, and also the use of a reranking to improve the overall performance. Evaluating the longitudinal effectiveness of the system using the multiple collections provided by CLEF, we show that the performances remain satisfactory over time.
SEUPD@CLEF: Team FADERIC on A Query Expansion and Reranking Approach for the Longeval Task
Ferro N.
2023
Abstract
This report explains and analyzes the system developed by Team FADERIC for the LongEval Lab at CLEF 2023, Task 1 - LongEval-Retrieval. The team members are all students following the Search Engines course a.y. 2022/23 at the Computer Engineering master degree at University of Padua. The system developed is a search engine that has to retrieve documents from a corpus, composed of original files in French language and automatically translated files in English language. The produced IR system exploits the query expansion technique, such as word N-grams and synonyms, and also the use of a reranking to improve the overall performance. Evaluating the longitudinal effectiveness of the system using the multiple collections provided by CLEF, we show that the performances remain satisfactory over time.Pubblicazioni consigliate
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