Supervised Entity Mention Coreference Resolution Algorithm
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An Supervised Entity Mention Coreference Resolution Algorithm is a Data-Driven Mention Coreference Resolution Algorithm that is also a Supervised Coreference Resolution Algorithm.
- Context:
- It can be applied by a Supervised Entity Mention Resolution System (to solve a Supervised Entity Mention Resolution Task).
- …
- Counter-Example(s):
- See: Supervised Anaphora Resolution Algorithm.
References
2008
- (Clark and González-Brenes, 2008) ⇒ Jonathan H. Clark, and José P. González-Brenes. (2008). “Coreference: Current Trends and Future Directions." CMU course on Language and Statistics II Literature Review, Fall 2008.
- “Until recently, statistical approaches treated coreference resolution as a binary classification problem, in which the probability of two mentions from the text [math]\displaystyle{ i }[/math] and [math]\displaystyle{ j }[/math] having a coreferential outcome can be calculated from data by estimating the probability of Denis and Baldridge (2007). “Pc(COREF|<i,j>) (1)
2001
- (Soon et al., 2001) ⇒ Wee Meng Soon, Hwee Tou Ng, and Daniel Chung Yong Lim. (2001). “A Machine Learning Approach to Coreference Resolution of Noun Phrases.” In: Computational Linguistics, Vol. 27, No. 4.