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RQ-OSPTrans: A Semantic Classification Method Based on Transformer That Combines Overall Semantic Pe...

RQ-OSPTrans: A Semantic Classification Method Based on Transformer That Combines Overall Semantic Pe...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_46ebcfd73bbc49bfa0963666afee5864

RQ-OSPTrans: A Semantic Classification Method Based on Transformer That Combines Overall Semantic Perception and “Repeated Questioning” Learning Mechanism

About this item

Full title

RQ-OSPTrans: A Semantic Classification Method Based on Transformer That Combines Overall Semantic Perception and “Repeated Questioning” Learning Mechanism

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2024-05, Vol.14 (10), p.4259

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The pre-trained language model based on Transformers possesses exceptional general text-understanding capabilities, empowering it to adeptly manage a variety of tasks. However, the topic classification ability of the pre-trained language model will be seriously affected in the face of long colloquial texts, expressions with similar semantics but co...

Alternative Titles

Full title

RQ-OSPTrans: A Semantic Classification Method Based on Transformer That Combines Overall Semantic Perception and “Repeated Questioning” Learning Mechanism

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_46ebcfd73bbc49bfa0963666afee5864

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_46ebcfd73bbc49bfa0963666afee5864

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app14104259

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