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Related Papers
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
AbstractLong document coreference resolution remains a challenging task due to the large memory and runtime requirements of current models. Recent work doing incremental coreference resolution using just the global representation …...
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters
Due to the multi-dimensional variation of tex- tual data, detection of event triggers from new domains can become a lot more challenging. This prompts a need to research on domain …...
Longtonotes: OntoNotes with Longer Coreference Chains
AbstractOntonotes has served as the most important benchmark for coreference resolution. However, for ease of annotation, several long documents in Ontonotes were split into smaller parts. In this work, we …...