scholarly journals Human Variation and Lexical Choice

2002 ◽  
Vol 28 (4) ◽  
pp. 545-553 ◽  
Author(s):  
Ehud Reiter ◽  
Somayajulu Sripada
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Good Evidence ◽  
Human Variation ◽  
Language Community ◽  
Word Meanings ◽  
Ongoing Research ◽  
Language Generation ◽  
Lexical Choice

Much natural language processing research implicitly assumes that word meanings are fixed in a language community, but in fact there is good evidence that different people probably associate slightly different meanings with words. We summarize some evidence for this claim from the literature and from an ongoing research project, and discuss its implications for natural language generation, especially for lexical choice, that is, choosing appropriate words for a generated text.

The Story Of Computational Narratology

2018 ◽  
Author(s):  
Sharath Srivatsa ◽  
Shyam Kumar V N ◽  
Srinath Srinivasa
Keyword(s):  
Natural Language ◽  
Computational Modeling ◽  
Narrative Structure ◽  
Complex Problem ◽  
General Intelligence ◽  
Language Understanding ◽  
Language Generation ◽  
Narrative Generation ◽  
Growing Body ◽  
Computational Narratology

In recent times, computational modeling of narratives has gained enormous interest in fields like Natural Language Understanding (NLU), Natural Language Generation (NLG), and Artificial General Intelligence (AGI). There is a growing body of literature addressing understanding of narrative structure and generation of narratives. Narrative generation is known to be a far more complex problem than narrative understanding [20].

scholarly journals Transparency in Language Generation

2020 ◽  
Author(s):  
Justin Edwards ◽  
Allison Perrone ◽  
Philip R. Doyle
Keyword(s):  
Language Generation
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