Named entity extraction and disambiguation have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works examine this dependency. It is the aim of this paper to examine the dependency and show how one affects the other, and vice versa. We conducted experiments with a set of descriptions of holiday homes with the aim to extract and disambiguate toponyms as a representative example of named entities. We experimented with three approaches for disambiguation with the purpose to infer the country of the holiday home. We examined how the effectiveness of extraction influences the effectiveness of disambiguation, and reciprocally, how filtering out ambiguous names (an activity that depends on the disambiguation process) improves the effectiveness of extraction. Since this, in turn, may improve the effectiveness of disambiguation again, it shows that extraction and disambiguation may reinforce each other.
|Name||CTIT Workshop Proceedings Series|
|Publisher||Centre for Telematics and Information Technology University of Twente|
|Conference||5th International Workshop on Management of Uncertain Data, MUD 2011, Seatle, USA|
|Period||29/08/11 → …|
- Named Entity RecognitionNamed Entity LinkingNamed Entity ExtractionNamed Entity Disambiguation