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In computational linguistics, coreference resolution is a well-studied problem in discourse. To derive the correct interpretation of a text, or even to estimate the relative importance of various mentioned subjects, pronouns and other referring expressions must be connected to the right individuals. Algorithms intended to resolve coreferences ...
It found applications for many natural language processing tasks, such as coreference resolution and polysemy resolution. [5] It is an evolutionary step over ELMo , and spawned the study of "BERTology", which attempts to interpret what is learned by BERT.
Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
Coreference resolution understands whether multiple words in a text refer to the same entity. It can be useful, for example, to understand the word a pronoun refers to. Consider the following example: Paris is the capital of France. It is also the largest city in France.
Coreference resolution: detection of coreference and anaphoric links between text entities. In IE tasks, this is typically restricted to finding links between previously extracted named entities. For example, "International Business Machines" and "IBM" refer to the same real-world entity.
A failed resolution proposed by the US last week demanded a ceasefire that was directly tied to releasing the hostages. While the US says the latest resolution is non-binding, experts differ on ...
Pages for logged out editors learn more. Contributions; Talk; Coreference resolution
Ten months after her marriage imploded, the ‘Selling Sunset’ alum gave PEOPLE an exclusive look at her new home and revealed how she’s adjusting to life out of the realty TV spotlight