Feature Text Selection in Entity Disambiguation
PANG Kunyuan
TANG Jintao
LI Shasha
WANG Ting
Abstract：In an entity disambiguation task,feature text is the input of entity disambiguation system to represent the men-tioned entity and the candidate entity. Quality of feature text affects entity disambiguation performance. Feature text selection regard-ing web text is studied in three aspects,including special tokens,text location and whether it contains the mention and length of sen-tences. Experiments are conducted on DSSM(Deep Structured Semantic Model)and VSM(Vector Similarity Model). Results in DSSM show but increases of 12.2％,12.3％and 12.2％on P@3,P@5 and P@10 respectively. Special token preprocess increased VSM precision by 5.5％. Feature text selection helps in semantic understanding in entity disambiguation.
Keywords：entity disambiguationfeature textdata cleaning
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1543-1547 )