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Article

Hierarchical bi-directional attention-based RNNs for supporting document classification on protein-protein interactions affected by genetic mutations.

Database : the journal of biological databases and curation - 1 Jan 2018

Fergadis Aris, Baziotis Christos, Pappas Dimitris, Papageorgiou Haris, Potamianos Alexandros

Abstract excerpt

In this paper, we describe a hierarchical bi-directional attention-based Re-current Neural Network (RNN) as a reusable sequence encoder architecture, which is used as sentence and document encoder for document classification. The sequence encoder is composed of two bi-directional RNN equipped with an attention mechanism that identifies and captures the most important elements, words or sentences, in a document...

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Identifiers

PMID: 30137284
DOI: 10.1093/database/bay076
PMCID: PMC6105093

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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