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Longformer Coreference Ontonotes
A coreference resolution model fine-tuned based on Longformer-large architecture, specifically designed for processing long documents
Downloads 29
Release Time : 3/2/2022
Model Overview
This model is a Longformer-large variant fine-tuned on the OntoNotes dataset, specifically for coreference resolution tasks, capable of effectively identifying coreference relations in long documents
Model Features
Long document processing capability
Uses sparse attention mechanism to efficiently process document sequences up to 4096 tokens long
Strong domain adaptability
Fine-tuned on OntoNotes multi-domain corpus (news, telephone conversations, blogs, etc.), with broad applicability
End-to-end coreference resolution
Requires integration with document encoder to complete the full pipeline from text input to coreference chain output
Model Capabilities
Long-text coreference resolution
Cross-sentence coreference relation recognition
Multi-type reference recognition (noun phrases, pronouns, etc.)
Use Cases
Text analysis
News article entity relation analysis
Identify reference relationships between entities mentioned multiple times in long news articles
Build entity coreference chains to improve information extraction completeness
Legal document parsing
Analyze clause references and entity coreference relationships in legal texts
Assist in structured processing of legal texts
Dialogue systems
Multi-turn dialogue understanding
Track pronouns and elliptical references in dialogue history
Enhance contextual understanding capability of dialogue systems
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