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https://doi.org/10.3115/992066...
Article . 1992 . Peer-reviewed
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On compositional semantics

Authors: Wlodek Zadrozny;

On compositional semantics

Abstract

We prove a theorem stating that any semantics can be encoded as a compositional semantics, which means that, essentially, the standard definition of compositionality is formally vacuous. We then show that when one requires compositional semantics to be "systematic" (that is the meaning function cannot be arbitrary, but must belong to some class), one can easily distinguish between compositional and non-compositional semantics. We also present an example of a simple grammar for which there is no "systematic" compositional semantics. This implies that it is possible to distinguish "good" and "bad" grammars on the basis of whether they can have compositional semantics. As a result, we believe that the paper clarifies the concept of compositionality and opens a possibility of making systematic comparisons of different systems of grammars and NLU programs.

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Top 10%
bronze