Papers with linguistic theories

3 papers
GCM: A Toolkit for Generating Synthetic Code-mixed Text (2021.eacl-demos)

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Challenge: Code-mixing is a spoken language phenomenon and is difficult to train in multilingual communities.
Approach: They propose a tool that can automatically generate code-mixed data given parallel data in two languages.
Outcome: The proposed tool can generate code-mixed data in two languages using two linguistic theories.
A Linguistically-Informed Annotation Strategy for Korean Semantic Role Labeling (2024.lrec-main)

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Challenge: Semantic role labeling is an essential component of semantic and syntactic processing of natural languages.
Approach: They propose an annotation strategy for Korean semantic role labeling that is in line with the previously proposed linguistic theories as well as the distinct properties of the Korean language.
Outcome: The proposed annotation strategy is consistent with the proposed linguistic theories and the distinct properties of the Korean language.
A Quantum-Inspired Matching Network with Linguistic Theories for Metaphor Detection (2024.lrec-main)

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Challenge: Metaphor identification procedures and selectional preference violations are challenging for machines to recognize and comprehend metaphors.
Approach: They propose a quantum-inspired matching network for metaphor detection based on QLM . metaphors are widely present in the language, thought and behavior of humans .
Outcome: The proposed method can be used to detect metaphors even in the face of conventional metaphors.

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