Named entity extraction (NEE) and disambiguation (NED) have received much attention in
recent years. Typical fields addressing these topics are information retrieval, natural …

Named entity extraction and disambiguation have received much attention in recent years.
Typical fields addressing these topics are information retrieval, natural language processing …

This paper addresses two problems with toponym extraction and disambiguation. First,
almost no existing works examine the extraction and disambiguation interdependency …

Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are
well covered in literature. Typical fields addressing these topics are information retrieval …

Toponym Disambiguation, ie the task of assigning to place name their correct reference in
the world, is getting more attention from many researchers. Many methods have been …

This chapter presents a toponym disambiguation approach based on supervised machine
learning. The proposed approach uses a simple hierarchical geographic relationship model …

Toponym extraction and disambiguation are key topics recently addressed by fields of
Information Extraction and Geographical Information Retrieval. Toponym extraction and …

Toponym is an essential element of geospatial information. Traditionally, toponyms are
collected in a gazetteer through field surveys that require significant resources, including …

Toponym Resolution, the task of assigning a location mention in a document to a
geographic referent (ie, latitude/longitude), plays a pivotal role in analyzing location-aware …

This thesis addresses the problem of toponym resolution. Given an ambiguous placename
like Springfield in some natural language context, the task is to automatically predict the …