A Hybrid Neuro-Symbolic Pipeline for Coreference Resolution and AMR-Based Semantic Parsing

A Hybrid Neuro-Symbolic Pipeline for Coreference Resolution and AMR-Based Semantic Parsing

Large Language Models (LLMs) have transformed Natural Language Processing (NLP), yet they continue to struggle with deep semantic understanding, particularly in tasks like coreference resolution and structured semantic inference. This study presents a hybrid neuro-symbolic pipeline that combines tra...

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Bibliographic Details
Main Authors: Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Information
Subjects:
Natural Language Understanding (NLU)
coreference resolution
Abstract Meaning Representation (AMR)
Neuro-Symbolic AI
Transformer Models
Semantic Parsing
Online Access:https://www.mdpi.com/2078-2489/16/7/529
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https://www.mdpi.com/2078-2489/16/7/529

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