no code implementations • LREC 2022 • Harry Bunt, Maxime Amblard, Johan Bos, Karën Fort, Bruno Guillaume, Philippe de Groote, Chuyuan Li, Pierre Ludmann, Michel Musiol, Siyana Pavlova, Guy Perrier, Sylvain Pogodalla
This paper describes the continuation of a project that aims at establishing an interoperable annotation schema for quantification phenomena as part of the ISO suite of standards for semantic annotation, known as the Semantic Annotation Framework.
no code implementations • ISA (LREC) 2022 • Siyana Pavlova, Maxime Amblard, Bruno Guillaume
In this paper, we consider two of the currently popular semantic frameworks: Abstract Meaning Representation (AMR)a more abstract framework, and Universal Conceptual Cognitive Annotation (UCCA)-an anchored framework.
no code implementations • ISA (LREC) 2022 • Maxime Amblard, Bruno Guillaume, Siyana Pavlova, Guy Perrier
This paper presents how the online tool GREW-MATCH can be used to make queries and visualise data from existing semantically annotated corpora.