Zero-shot relation triplet extraction (ZeroRTE) endeavors to extract relation triplets from a test
set using a model trained on a training set with disjoint relations from the test set. Current …

Document-level relation extraction focuses on identifying the relations between entity pairs
across the entirety of a document. However, current mainstream methods mainly have two …

In natural language processing, document-level relation extraction is a complex task that
aims to predict the relationships among entities by capturing contextual interactions from an …

Extracting structured information from unstructured text is crucial for knowledge
management and utilization, which is the goal of document-level relation extraction. Existing …

The task of document-level relation extraction is the classification of the relations between
pairs of entities within a document. The identification of relations between inter-sentence …

Document-level relation extraction (RE), which requires integrating and reasoning
information to identify multiple possible relations among entities. However, previous …

Existing methods for video super-resolution (VSR) and video frame interpolation (VFI)
primarily concentrate on devising a general pipeline suitable for open-domain videos …

Document-level biomedical entity-relationship extraction aims to extract relationship facts
from unstructured biomedical literature. Since many relationship facts span multiple …