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Main Authors: Shin, Hagyeong, Trott, Sean
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2405.09293
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author Shin, Hagyeong
Trott, Sean
author_facet Shin, Hagyeong
Trott, Sean
contents Markedness in natural language is often associated with non-literal meanings in discourse. Differential Object Marking (DOM) in Korean is one instance of this phenomenon, where post-positional markers are selected based on both the semantic features of the noun phrases and the discourse features that are orthogonal to the semantic features. Previous work has shown that distributional models of language recover certain semantic features of words -- do these models capture implied discourse-level meanings as well? We evaluate whether a set of large language models are capable of associating discourse meanings with different object markings in Korean. Results suggest that discourse meanings of a grammatical marker can be more challenging to encode than that of a discourse marker.
format Preprint
id arxiv_https___arxiv_org_abs_2405_09293
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology
Shin, Hagyeong
Trott, Sean
Computation and Language
Artificial Intelligence
Markedness in natural language is often associated with non-literal meanings in discourse. Differential Object Marking (DOM) in Korean is one instance of this phenomenon, where post-positional markers are selected based on both the semantic features of the noun phrases and the discourse features that are orthogonal to the semantic features. Previous work has shown that distributional models of language recover certain semantic features of words -- do these models capture implied discourse-level meanings as well? We evaluate whether a set of large language models are capable of associating discourse meanings with different object markings in Korean. Results suggest that discourse meanings of a grammatical marker can be more challenging to encode than that of a discourse marker.
title Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2405.09293