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Found 5 papers, 2 papers with code
NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning
Due to the overlapping features in sarcastic and non-sarcastic texts, a CNN model extracts local features from the combined class-dependent statistical embedding of sarcastic texts with contextualized embedding.
LLMs4OM: Matching Ontologies with Large Language Models
Ontology Matching (OM), is a critical task in knowledge integration, where aligning heterogeneous ontologies facilitates data interoperability and knowledge sharing.
LLMs4OL: Large Language Models for Ontology Learning
LLMs have shown significant advancements in natural language processing, demonstrating their ability to capture complex language patterns in different knowledge domains.
ViraPart: A Text Refinement Framework for Automatic Speech Recognition and Natural Language Processing Tasks in Persian
Despite that, we believe that for text refinement in Persian, all of these tasks are necessary.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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UoT-UWF-PartAI at SemEval-2021 Task 5: Self Attention Based Bi-GRU with Multi-Embedding Representation for Toxicity Highlighter
Toxic Spans Detection(TSD) task is defined as highlighting spans that make a text toxic.
