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6 search results found

BERT for Multitask Learning

Chinesener ⭐ 274

中文NER的那些事儿

Multi Task Nlp ⭐ 269

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

reference pytorch code for named entity tagging

Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.

Intent_and_slot_classification ⭐ 8

One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.

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