Repozytorium publikacji - Politechnika Gdańska

The paper presents a novel method for fast approximate string search based on neural distance metrics embeddings. Our research is focused primarily on applying the proposed method for entity retrieval in the Wikification process, which is similar to edit distance-based similarity search on the typical dictionary. The proposed method has been compared with symmetric delete spelling correction algorithm and proven to be more efficient for longer stings and higher distance values, which is a typical case in the Wikification task.

Autorzy

• mgr inż. Szymon Olewniczak link otwiera się w nowej karcie ,
• dr hab. inż. Julian Szymański link otwiera się w nowej karcie