Architecture for gazetteer-augmented named entity recognition

Features are disclosed for training and using named entity recognition models based on gazetteer information. A named entity recognition model can be trained with a gazetteer output at a layer of the model to provide deterministic data in the probabilistic model. The named entity recognition model c...

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Bibliographische Detailangaben
Hauptverfasser: Yan, Wenbo, Lee, Kyung Jae, Yang, Liu, Dzialo, Charlotte Alizerine, Fofadiya, Darshan Ashok, Ma, Lan, Qin, Yi, Ramachandra, Prathap
Format: Patent
Sprache:eng
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Zusammenfassung:Features are disclosed for training and using named entity recognition models based on gazetteer information. A named entity recognition model can be trained with a gazetteer output at a layer of the model to provide deterministic data in the probabilistic model. The named entity recognition model can recognize named entities based on the word embedding and the gazetteer output. The named entity recognition model can tune the gazetteer output to include false positive name entities such that the gazetteer output is not deterministic of the output of the model. In some embodiments, the named entity recognition model can be tuned so as to adjust the gazetteer output.