Document-level relation extraction (RE) aims to extract relational triples from a document. One of its primary challenges is predict implicit relations between entities, which are not explicitly expressed in the document but can usually be extracted through reasoning. Previous methods mainly implicitly model reasoning interaction among entities or entity pairs. However, they suffer two deficien...

We give the first systematic study on second order asymptotics of operational task coherence distillation with and without assistance. In unassisted setting, we introduce a variant randomness extraction framework where free incoherent operations are allowed before measurement extractors. then show that maximum number random bits extractable from given quantum state is precisely equal to coheren...

Building polygons plays an important role in urban management. Although leveraging deep learning techniques for building polygon extraction offers advantages, the models heavily rely on a large number of training samples to achieve good generalization performance. In scenarios with small samples, struggle effectively represent diverse structures and handle complexity introduced by background. A...

chemical composition of the essential oil of the fruit of ferula assafoetida l. obtained by steam distillation solvent extraction methodhas been studied by gc/ms for the first time. fifty-four components, comprising 96.9% of the total oil, were identified.epi-α-cadinol (23.15 %), germacrene b (10.98 %), α-gurjunene (6.18 %), (z)-1-propenyl secbutyl disulfide (5.89 %), 5-epi-7-epi-α-eudesmol (4....

We present a new asymptotic bipartite entanglement distillation protocol that outperforms all existing asymptotic schemes. This protocol is based on the breeding protocol with the incorporation of two-way classical communication. Like breeding, the protocol starts with an infinite number of copies of a Bell-diagonal mixed state. Breeding can be carried out as successive stages of partial inform...