Coreference Resolution Evaluation for Higher Level Applications
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coreference-resolutionCoreference ResolutionInformation RetrievalSimilar Papers 제목 키워드 기반
SinoCoreferencer: An End-to-End Chinese Event Coreference Resolver
Compared to entity coreference resolution, there is a relatively small amount of work on event coreference resolution. Much work on event coreference was done for English. In fact, to our knowledge, there are no publicly…
coreference-resolutionCoreference ResolutionEntity Extraction using GANEntity Typing+3End-to-end Deep Reinforcement Learning Based Coreference Resolution
Recent neural network models have significantly advanced the task of coreference resolution. However, current neural coreference models are usually trained with heuristic loss functions that are computed over a sequence …
coreference-resolutionCoreference ResolutionDeep Reinforcement Learningreinforcement-learning+2Signed Coreference Resolution
Coreference resolution is key to many natural language processing tasks and yet has been relatively unexplored in Sign Language Processing. In signed languages, space is primarily used to establish reference. Solving cor…
coreference-resolutionCoreference ResolutionEnd-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline
Since the first end-to-end neural coreference resolution model was introduced, many extensions to the model have been proposed, ranging from using higher-order inference to directly optimizing evaluation metrics using re…
coreference-resolutionCoreference ResolutionTowards Evaluation of Cross-document Coreference Resolution Models Using Datasets with Diverse Annotation Schemes
Established cross-document coreference resolution (CDCR) datasets contain event-centric coreference chains of events and entities with identity relations. These datasets establish strict definitions of the coreference re…
coreference-resolutionCoreference ResolutionCross Document Coreference ResolutionDiversity