Abstract: A method and an apparatus for few-shot relation classification and filtering, and a device are provided. The method includes: constructing a coarse-grained filter for filtering an unlabeled corpus to obtain candidate instances with a same entity as a seed instance and with similar semantics to the seed instance; constructing a fine-grained filter for filtering the candidate instances to obtain a candidate instance with a same relation concept as the seed instance; defining the candidate instance as a positive instance set, and defining candidate instances with different relation concepts from the seed instance as a negative sample set; constructing a false positive instance correction module for adjusting and controlling a proportion of the negative sample set used by a classifier during training; training the classifier based on a small number of obtained labeled instances belonging to a newly emerging relation and the adjusted positive instance set and negative sample set.

Abstract: A method and apparatus for training a few-shot event detection model based on multilingual prompt learning are provided, which includes: acquiring a training data set, applying a multilingual prompt model to any instance to obtain a predicted probability distribution of a trigger tag, so as to obtain a first loss; generating a contrastive instance and a bilingual instance, and performing multilingual prompt and cross-lingual encoding according to the input instance and the bilingual instance by applying the multilingual prompt model to obtain joint event characterization; performing event tag prediction on the joint event characterization by applying a two-level hierarchical prototype network model, and calculating a second loss; performing contrastive learning on respective instances by applying a quaternary contrastive learning module to obtain a third loss; determining a total loss of the few-shot event detection model according to respective losses, and performing model training optimization based on the

Abstract: Described are multi-resonance-thermally-activated delay-fluorescence compounds containing (i) a polycyclic aromatic/heteroaromatic ligand in which a plurality aromatic/heteroaromatic rings are linked by boron and nitrogen atoms and (ii) an N-heterocyclic carbene ligand, with both ligands coordinated to a metal atom/ion that has a high spin-orbit coupling. The use of the high spin-orbit coupling of metals and/or metal ions facilitates the intersystem crossing and/or reversed intersystem crossing processes of MR-TADF emitters, thereby largely accelerating the rate of TADF and substantially shortening the lifetime of deleterious triplet excitons. The MR-TADF emitters can be used to fabricate blue to green emitting OLEDs.

Abstract: Provided is a multi-user live streaming method, applicable to a terminal. The method includes: displaying a live streaming interface of a first live streaming room; displaying, in response to the first live streaming room satisfying a live streaming room consolidation condition, a consolidation selection list; sending, in response to a select operation on a target client in the consolidation selection list, a live streaming room consolidation request to the target client via a server; and displaying, in the live streaming interface of the first live streaming room, the target client added to the first live streaming room.