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Mylonas et al., 2024 - Google Patents

An attention matrix for every decision: Faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification

Mylonas et al., 2024

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Document ID
14058108867336279464
Author
Mylonas N
Mollas I
Tsoumakas G
Publication year
Publication venue
Data Mining and Knowledge Discovery

External Links

Snippet

Transformers are widely used in natural language processing, where they consistently achieve state-of-the-art performance. This is mainly due to their attention-based architecture, which allows them to model rich linguistic relations between (sub) words. However …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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