2007 Wikify

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

Subject Headings: Entity Mention Normalization Algorithm, Wikipedia-based Word Mention Normalization Task, Term Identification Task, Word Sense Disambiguation Task, Wikify System.

Notes

(Csomai & Mihalcea, 2008) is a follow-on paper.
Alternative PDF link: http://www.cs.unt.edu/~rada/papers/mihalcea.cikm07.pdf

Cited By

2014

(Roth et al., 2014) ⇒ Dan Roth, Heng Ji, Ming‐Wei Chang, and Taylor Cassidy. (2014). “Wikification and Beyond: The Challenges of Entity and Concept Grounding.” Tutorial at ACL 2014.
- QUOTE: … Contextual disambiguation and grounding of concepts and entities in natural language text are essential to moving forward in many natural language understanding related tasks and are fundamental to many applications. The Wikification task (Bunescu and Pasca, 2006; Mihalcea and Csomai, 2007; Ratinov et al., 2011) aims at automatically identifying concept mentions appearing in a text document and link it to (or “ground it in”) a concept referent in a knowledge base (KB) (e.g., Wikipedia). …

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.
- Wikify! 13 has two components. The first, keyword extraction, decides if a phrase should be linked to Wikipedia. This is based on how often a word or phrase is found to be in the anchor text of some link internal to Wikipedia. The second step is disambiguation. Wikify!, too, is conservative in flagging keywords, so much so that even random disambiguation results in an F1 score of 0.82. Suppose Wikify! is considering linking spot [math]\displaystyle{ s }[/math] to entity γ. Wikipedia’s page describing γ is explicitly referred from other Wikipedia pages. The context of these known citations is compared with the context of [math]\displaystyle{ s }[/math] to decide on a compatibility score. This may be regarded as generalizing SemTag, where known references to γ form part of the metadata of γ. … However, none of these systems attempt collective disambiguation across spots.

2008

(Csomai & Mihalcea, 2008) ⇒ Andras Csomai, and Rada Mihalcea. (2008). “Linking Documents to Encyclopedic Knowledge.” In: IEEE Intelligent Systems 23(5). doi:10.1109/MIS.2008.86
(Milne & Witten, 2008) ⇒ David Milne, and Ian H. Witten. (2008). “Learning to Link with Wikipedia.” In: Proceeding of the 17th ACM Conference on Information and Knowledge Management. doi:10.1145/1458082.1458150

Quotes

Abstract

This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks. The paper also shows how the two methods can be combined into a system able to automatically enrich a text with links to encyclopedic knowledge. Given an input document, the system identifies the important concepts in the text and automatically links these concepts to the corresponding Wikipedia pages. Evaluations of the system show that the automatic annotations are reliable and hardly distinguishable from manual annotations.

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 Wikify	Rada Mihalcea Andras Csomai			Wikify!: Linking documents to encyclopedic knowledge		Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management	http://www.cs.unt.edu/~rada/papers/mihalcea.cikm07.pdf	10.1145/1321440.1321475		2007