Editing Natural language processing (section)

=== Relational semantics (semantics of individual sentences) ===
; [[Relationship extraction]]: Given a chunk of text, identify the relationships among named entities (e.g. who is married to whom).
; [[Semantic parsing]]: Given a piece of text (typically a sentence), produce a formal representation of its semantics, either as a graph (e.g., in [[Abstract Meaning Representation|AMR parsing]]) or in accordance with a logical formalism (e.g., in [[Discourse representation theory|DRT parsing]]). This challenge typically includes aspects of several more elementary NLP tasks from semantics (e.g., semantic role labelling, word-sense disambiguation) and can be extended to include full-fledged discourse analysis (e.g., discourse analysis, coreference; see [[#Natural language understanding|Natural language understanding]] below).
; [[Semantic role labeling|Semantic role labelling]] (see also implicit semantic role labelling below)
:Given a single sentence, identify and disambiguate semantic predicates (e.g., verbal [[Frame semantics (linguistics)|frames]]), then identify and classify the frame elements ([[semantic roles]]).