A multiple head selection joint entity-relation extraction model

Release time:2023-12-18  Hits:

• Affiliation of Author(s):计算机科学与工程学院
• Journal:Journal of Intelligent & Fuzzy Systems
• Funded by:自选课题
• Key Words:Entity-Relation Extraction， Multiple Head Selection，Span-Extraction
• Abstract:In the entity extraction task,there are some complex extraction problems,such as nested entity,entity boundary recognition,context ambiguity,and multi-instanceentity recognition.Entity nesting is an importantchallengein relational extraction.The mainreason of entity nesting problemis that the boundary information betweenen titiesis not clear.Inorder tosolvetheentitynestingproblematthefragmentlevel,whilepreservingtherelationshipbetweenfragmentswiththesame characteristicsandimprovingefficiency,weproposedabrandnewfragmentannotationmethod.Onthebasisoftraditional fragmentannotationmethod,combinedwithpointerannotationmethod,wedesignedanannotationmethodof"ergodic enumeration+groupmapping".Onthebasisofthismethod,anentityextractionmodelisdesigned:Span-Extraction Based Entity Extraction Model(LMA).Our model underwentaseriesofvalidationsin the English datasets NewYork Times(NYT)andWEBNLG,showing signifi can timprovements over the baseline model F1.It can effectively all eviate the above problems.
• Co-author:索佳峰,韩东辰
• First Author:zhaohui
• Indexed by:Journal paper
• Page Number:1
• ISSN No.:1064-1246
• Translation or Not:no
• Date of Publication:2023-11-10