Papers with lexical relation classification

2 papers
No clues good clues: out of context Lexical Relation Classification (2023.acl-long)

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Challenge: Pre-trained language models (PTLMs) are used to predict lexical relations between words.
Approach: They propose to use pre-trained language models to fine-tune and exploit verbalized text for linguistically motivated tasks.
Outcome: The proposed model outperforms graded Lexical Entailment and lexical relation classification with very simple prompts.
Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining (2025.acl-long)

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Challenge: Pre-trained language models can effectively mine lexical relations between word pairs . however, graph features and semantic knowledge of pre-tried models are lacking in the task.
Approach: They propose a parameter-efficient fine-tuning method which integrates graph features and semantic representations for lexical relation classification and lexic entailment tasks.
Outcome: The proposed method integrates graph features and semantic representations for lexical relation mining tasks.

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