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  "Description": "A framework for extracting semantic motifs around entities\nin textual data. It implements an entity-centered semantic\ngrammar that distinguishes six classes of motifs: actions of an\nentity, treatments of an entity, agents acting upon an entity,\npatients acted upon by an entity, characterizations of an\nentity, and possessions of an entity. Motifs are identified by\napplying a set of extraction rules to a parsed text object that\nincludes part-of-speech tags and dependency annotations - such\nas those generated by 'spacyr'. For further reference, see:\nStuhler (2022) <doi: 10.1177/00491241221099551>.",
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