R/aP_3.R

In omstuhler/semgram: Extracting Semantic Motifs from Textual Data

#' @importFrom rsyntax annotate_tqueries cast_text children NOT OR not_children parents tquery
NULL

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##### Rule: Object of conjuncted verb
##### Example: "ENTITY came and kissed Joe, Sue, and Michael." (kissed, Joe Sue Michael)
##### Example: "ENTITY came and gave Steve a present." (gave, Steve present)

aP_3 = function(tokens, entities, verb_pos, agent_patient_pos, extract){
  rule = tquery(OR(token = entities, appos_child = "appos_child"), relation = "nsubj",
                label = "Entity", fill = F,
                parents(pos = c("VERB", "AUX"),
                        children(pos = c("VERB", "AUX"), relation = "conj",
                                 label = "action", fill = F,
                                 NOT(lemma = "have"),
                                 not_children(relation = "nsubj", depth = 1),
                                 children(pos = agent_patient_pos, relation = c("dobj", "dative"),
                                          label = "Patient",
                                          fill = F,
                                          children(pos = agent_patient_pos, relation = c("conj", "appos"),
                                                   label = "Patient", req = F, depth = 3,
                                                   fill = F
                                          )
                                 )
                        )
                )
  )

  tokens = annotate_tqueries(tokens, "query", rule, overwrite = T, copy = F)

  if(all(is.na(tokens$query))){
    casted = data.table(doc_id = character(), ann_id = factor(), action = character(), Entity = character(), Patient = character())
  } else {
    casted = cast_text(tokens, 'query', text_col = extract)
  }
  return(casted)
}