A MARKER-PASSING ALGORITHM FOR REFERENCE RESOLUTION
Seungho Cha, DAN I. MOLDOVAN · International Journal of Artificial Intelligence Tools · 1994
Reference is a linguistic process by which a speaker/ writer denotes an entity. It is an important phenomenon in natural language, and it has been addressed by many researchers. A local focus constitutes important information used in reference resolution; however, the previous focusing approaches fail to resolve some references due to several problems. This paper presents a marker-passing solution and some experimental results. Reference resolution is carried out based on the premise that “the most active concept acceptable syntactically and semantically as a referent is the referent.” Referability is defined based on constraints and activeness to be used to compute the correct referent. This model has been implemented on a marker-passing simulator, and it shows 92.2% success rate and better performance than previous approaches in a set of arbitrarily chosen 100 news articles.