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Found 3 papers, 1 papers with code
Leveraging Sub Label Dependencies in Code Mixed Indian Languages for Part-Of-Speech Tagging using Conditional Random Fields.
Code-mixed text sequences often lead to challenges in the task of correct identification of Part-Of-Speech tags.
Discourse-Aware In-Context Learning for Temporal Expression Normalization
In this work, we explore the feasibility of proprietary and open-source large language models (LLMs) for TE normalization using in-context learning to inject task, document, and example information into the model.
Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures
We show how for more domain-specific tasks related to sexual abuse disclosures such as sarcasm identification and dialogue act (refutation, justification, allegation) classification, homogeneous multitask learning is helpful, whereas for more general tasks such as stance and hate speech detection, heterogeneous multitask learning with emotion classification works better.
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