material ID: litbank

Related Papers

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

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 …...

29767

Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

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 …...

33840

Longtonotes: OntoNotes with Longer Coreference Chains

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

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 …...

33346