Wikipedia-based Concept Mention Linking Algorithm

A Wikipedia-based Concept Mention Linking Algorithm is a Concept Mention Linking Algorithm that can solve a Wikipedia-based Concept Mention Linking Task.

• AKA: Wikipedia-based Concept Mention Resolution Algorithm, Wikipedia-based Term Mention Resolution Algorithm.
• Context:
  • It can interact with a Wikipedia-based Term Mention Detection Algorithm.
  • It can support a Semantic Annotation Algorithm.
• Example(s):
  • (Kulkarni et al., 2009)
  • (Milne & Witten, 2008a)
  • (Mihalcea & Csomai, 2007)
  • (Cucerzan, 2007).
  • …
• Counter-Example(s):
  • WordNet-based Word Sense Disambiguation Algorithm.
  • Semantic Wiki-based Concept Mention Resolution Algorithm.
• See: Wikipedia-based Semantic Tagging Algorithm.

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References

2009

• (Kulkarni et al., 2009) ⇒ Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti. (2009). “Collective Annotation of Wikipedia Entities in Web Text.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557073.

2008a

• (Milne & Witten, 2008a) ⇒ David N. Milne, and Ian H. Witten. (2008). “Learning to Link with Wikipedia.” In: Proceeding of the 17th ACM Conference on Information and Knowledge Management, (CIKM 2008). doi:10.1145/1458082.1458150

2008b

• (Vercoustre et al., 2008) ⇒ Anne-Marie Vercoustre, James A. Thom, and Jovan Pehcevski. (2008). “Entity ranking in Wikipedia.” In: Proceedings of the 2008 ACM Symposium on Applied Computing.

2008c

• (Jijkoun et al., 2008) ⇒ Valentin Jijkoun, Mahboob Alam Khalid, Maarten Marx, and Maarten de Rijke\n. (2008). “Named Entity Normalization in User Generated Content.” In: Proceedings of the second workshop on Analytics for Noisy Unstructured Text Data (AND 2008).

2007a

• (Cucerzan, 2007) ⇒ Silviu Cucerzan. (2007). “Large-Scale Named Entity Disambiguation Based on Wikipedia Data.” In: Proceedings of EMNLP-CoNLL Conference (EMNLP-CoNLL 2007).

2007b

• (Mihalcea & Csomai, 2007) ⇒ Rada Mihalcea, and Andras Csomai. (2007). “Wikify!: Linking documents to encyclopedic knowledge.” In: Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management (CIKM 2007). doi:10.1145/1321440.1321475

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