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ERNIE: Enhanced language representation with informative entities
Entity linking for English and other languages: a survey
Extracting named entities text forms the basis for many crucial tasks such as information
retrieval and extraction, machine translation, opinion mining, sentiment analysis and …
retrieval and extraction, machine translation, opinion mining, sentiment analysis and …
Knowledge graphs: An information retrieval perspective
In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …
context of information retrieval (IR). Modern IR systems can benefit from information …
Neural architectures for fine-grained entity type classification
S Shimaoka, P Stenetorp, K Inui, S Riedel - ar** with a type taxonomy: a systematic review
Fine-grained entity ty** (FGET) is an important natural language processing (NLP) task. It
is to assign fine-grained semantic types of a type taxonomy (eg, Person/artist/actor) to entity …
is to assign fine-grained semantic types of a type taxonomy (eg, Person/artist/actor) to entity …