MetaHOPE is an error severity-aware annotation framework for metaphor translations, applied to three MT/LLM systems on English-Chinese and Chinese-English metaphor corpora with new parallel resources created.
Overview of the CLP sych 2022 Shared Task: Capturing Moments of Change in Longitudinal User Posts
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
LLM pipeline for joint post-level assessment and user-level temporal modeling of mental health from ordered social media posts in a shared task.
DreamerNLplus applies a mix of classification, regression, few-shot prompting, rules, and retrieval-augmented generation to model psychological states and changes from social media, placing in the top ranks on several CLPsych 2026 subtasks.
citing papers explorer
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MetaHOPE: A Metaphor-Oriented Evaluation Framework for Analysing MT and LLM Translation Errors
MetaHOPE is an error severity-aware annotation framework for metaphor translations, applied to three MT/LLM systems on English-Chinese and Chinese-English metaphor corpora with new parallel resources created.
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Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics
LLM pipeline for joint post-level assessment and user-level temporal modeling of mental health from ordered social media posts in a shared task.
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DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods
DreamerNLplus applies a mix of classification, regression, few-shot prompting, rules, and retrieval-augmented generation to model psychological states and changes from social media, placing in the top ranks on several CLPsych 2026 subtasks.