Natural Language Generation in NLP: Understanding the Process
Explore the world of Natural Language Generation (NLG) in NLP through stages like content selection, discourse structure, sentence structure, lexical choice, and linguistic realization. Learn how NLG maps meaning to text and find examples like weather forecasts and directions. Discover the importance of choices in NLG such as content coherence, style, syntax, and more.
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Presentation Transcript
Introduction to NLP Text Generation
Basic NLP Pipeline (U)nderstanding and (G)eneration (G) (U) Language Language Computer
One Definition of NLG Natural language generation is the process of deliberately constructing a natural language text in order to meet specified communicative goals. [McDonald 1992]
What is NLG? Mapping meaning to text Stages: Content selection Discourse structure Sentence structure Lexical choice Linguistic realization
Examples Weather forecasts Directions Train schedules Descriptions of objects
Content Selection What is important? What content should be presented to the user Depends on the domain, the audience, communicative goal Semantic representation
Discourse Structure Rhetorical structure Order in which to present the information
Lexical Choice What words to use Paraphrases Different syntactic structures
Sentence Structure Linking words e.g., therefore, and, but Aggregation You have two messages from Jason and one from Claire
Linguistic Realization Grammaticality Agreement Morphology Adjective order Articles (a/an) Relative clauses Referring expressions Presentation constraints Media Length User background Genre constraints Extralinguistic issues Layout
Choices NLG is about choices Content Coherence Style Media Syntax Aggregation Referring expressions Lexical choice Syntax Evaluation
