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Mar 23, 2024 · We propose with this paper an analysis of the impact of different modeling choices along with common model errors and successes for this task.
We propose with this paper an analysis of the impact of different modeling choices along with common model errors and successes for this task.
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What is Seq2Seq model for text classification?
What is hierarchical classification for text?
Hierarchical text classification methods are devised to take advantage of the labels' organization to boost classification performance.
Hierarchical Text Classification (HTC) is a challenging task where a document can be assigned to multiple hierarchically structured categories within a taxonomy ...
The Seq2Seq method can dynamically fuse other models into a holistic model without incurring hierarchical loss propagation. ... ... Sequence-to-Sequence ...
Sep 12, 2024 · Hierarchical Text Classification (HTC) aims to match text to hierarchical labels. Existing methods overlook two critical issues: first, ...
We propose a novel sequence-to-sequence model for multi-label text classification, based on a “parallel encoding, serial decoding” strategy.
Jul 7, 2022 · In this paper, we formulate HTC as a sequence generation task and introduce a sequence-to-tree framework (Seq2Tree) for modeling the hierarchical label ...
In hierarchical text classification, we perform a sequence of inference steps to predict the category of a document from top to bottom of a given class ...
Missing: Seq2seq | Show results with:Seq2seq
Hierarchical text classification (HTC) is a task that involves categorizing text data into predefined categories organized in a hierarchical structure Banerjee ...