Massimo Poesio
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Massimo Poesio is a person.
- See: Phrase Detectives.
References
2008
- (Arnstein & Poesio, 2008) ⇒ Ron Artstein, and Massimo Poesio. (2008). “Inter-Coder Agreement for Computational Linguistics.” In: Computational Linguistics, 34(4). doi:10.1162/coli.07-034-R2
- ABSTRACT: This article is a survey of methods for measuring agreement among corpus annotators. It exposes the mathematics and underlying assumptions of agreement coefficients, covering Krippendorff's alpha as well as Scott's pi and Cohen's kappa; discusses the use of coefficients in several annotation tasks; and argues that weighted, alpha-like coefficients, traditionally less used than kappa-like measures in computational linguistics, may be more appropriate for many corpus annotation tasks — but that their use makes the interpretation of the value of the coefficient even harder.
- (Chamberlain et al., 2008) ⇒ Jon Chamberlain, Massimo Poesio, and Udo Kruschwitz. (2008). “Phrase Detectives : A Web-based Collaborative Annotation Game.” In: Proceedings of the International Conference on Semantic Systems (I-Semantics 2008).
2004
- (Almuhareb & Poesio, 2004) ⇒ Abdulrahman Almuhareb, and Massimo Poesio. (2004). “Attribute-based and Value-based Clustering: An evaluation.” In: Proceedings of EMNLP Conference (EMNLP 2004).
2002
- (Poesio, 2002) ⇒ Massimo Poesio. (2002). “Annotating a Corpus to Develop and Evaluate Discourse Entity Realization Algorithms: issues and preliminary results.” In: Proceedings of LREC-2000.
- QUOTE: As part of the project, we have been annotating a corpus with the syntactic, semantic and discourse information that is needed for different subtasks of NP realization, including the task of deciding on the most appropriate NP type to be used to realize a certain discourse entity (proper name, definite description, pronoun, etc.), and the task of organizing the additional information to be expressed with that discourse entity. Noun phrases appear in the generated text as the realization of at least three different types of logical form constituents: TERMS, which include referring expressions, as in Jessie M. King or the hour pieces here, but also nonreferring terms such as jewelry or different types of creative work. Terms are called DISCOURSE ENTITIES in Discourse Representation Theory.