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#0 Understanding semantics and pragmatics is beneficial for building scalable Natural Language Processing (NLP) systems.
#1 Knowledge of semantics and pragmatics can inform the design of NLP systems for understanding and generation.
2 What is Meaning?
#2 Meaning can be modeled in terms of validity and reference.
#3 Natural language understanding requires commonsense reasoning.
#4 Meaning derived from form is different from meaning in context of use.
#5 Many extant models of meaning distinguish locutionary, illocutionary and perlocutionary acts.
#6 Philosophical concepts like indirect speech acts and common ground are useful for dialogue processing, but they have a different status from public commitments ...