Multi Label Text Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 49 papers with code (136 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Correlation Networks for Extreme Multi-label Text Classification
  23 Aug 2022 3 repositories listed
  This paper develops the Correlation Networks (CorNet) architecture for the extreme multi-label text classification (XMTC) task, where the objective is to tag an input text sequence with the most relevant subset of…
• DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
  10 Oct 2023 2 repositories listed
  Multi-label text classification (MLTC) tasks in the medical domain often face the long-tail label distribution problem.
• Multi-Label Text Classification using Attention-based Graph Neural Network
  22 Mar 2020 2 repositories listed
  The graph attention network uses a feature matrix and a correlation matrix to capture and explore the crucial dependencies between the labels and generate classifiers for the task.
• MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network
  24 Feb 2020 2 repositories listed
  The graph attention network uses a feature matrix and a correlation matrix to capture and explore the crucial dependencies between the labels and generate classifiers for the task.
• Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same Medal
  20 Nov 2024 1 repository listed
  The HBGL and HGLCR models from the HTC domain are trained and tested on the datasets Wiki10-31K, AmazonCat-13K, and Amazon-670K from the XML domain.
• Open-world Multi-label Text Classification with Extremely Weak Supervision
  8 Jul 2024 1 repository listed
  We study open-world multi-label text classification under extremely weak supervision (XWS), where the user only provides a brief description for classification objectives without any labels or ground-truth label space.
• Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach
  18 Dec 2023 1 repository listed
  Our experiments show that this data augmentation approach significantly improves the compositional generalization capabilities of classification models on our benchmarks, with both generation models surpassing other…
• Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities
  23 Oct 2023 1 repository listed
  We propose Text to Topic (Text2Topic), which achieves high multi-label classification performance by employing a Bi-Encoder Transformer architecture that utilizes concatenation, subtraction, and multiplication of…
• Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text Classification
  8 Oct 2023 1 repository listed
  Hierarchical multi-label text classification (HMTC) aims at utilizing a label hierarchy in multi-label classification.
• Substituting Data Annotation with Balanced Updates and Collective Loss in Multi-label Text Classification
  24 Sep 2023 1 repository listed
  Multi-label text classification (MLTC) is the task of assigning multiple labels to a given text, and has a wide range of application domains.
• Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
  21 Sep 2023 1 repository listed
  All limitations (a), (b), and (c) are addressed by replacing the PLM's language head with a classification head, which is referred to as Prompt Tuned Embedding Classification (PTEC).
• MatchXML: An Efficient Text-label Matching Framework for Extreme Multi-label Text Classification
  25 Aug 2023 1 repository listed
  We then extract the dense text representations from the fine-tuned Transformer.
• Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text Classification
  11 Jul 2023 1 repository listed
  The study of human values is essential in both practical and theoretical domains.
• An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text
  9 May 2023 1 repository listed
  Standard methods for multi-label text classification largely rely on encoder-only pre-trained language models, whereas encoder-decoder models have proven more effective in other classification tasks.
• The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study
  7 Feb 2023 1 repository listed
  Due to the exponential growth of scientific publications on the Web, there is a pressing need to tag each paper with fine-grained topics so that researchers can track their interested fields of study rather than…
• Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
  12 Dec 2022 1 repository listed
  XR-Transformer, the new SOTA model in the general extreme multi-label text classification domain, and XR-LAT, a novel adaptation of the XR-Transformer model, were also trained on the MIMIC-III dataset.
• OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification
  26 Oct 2022 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  However, such models can't predict a relatively complete and variable-length label subset for each document, because they select positive labels relevant to the document by a fixed threshold or take top k labels in…
• Exploiting Global and Local Hierarchies for Hierarchical Text Classification
  5 May 2022 1 repository listed
  Existing methods encode label hierarchy in a global view, where label hierarchy is treated as the static hierarchical structure containing all labels.
• Are We Really Making Much Progress in Text Classification? A Comparative Review
  8 Apr 2022 1 repository listed
  We analyze various methods for single-label and multi-label text classification across well-known datasets, categorizing them into bag-of-words, sequence-based, graph-based, and hierarchical approaches.
• Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification
  11 Feb 2022 1 repository listed
  Large-scale multi-label text classification (LMTC) aims to associate a document with its relevant labels from a large candidate set.
• Multi-relation Message Passing for Multi-label Text Classification
  10 Feb 2022 1 repository listed
  These examples motivate the modelling of multiple types of bi-directional relationships between labels.
• GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification
  10 Jan 2022 1 repository listed
  Large-scale pre-trained models have brought a new trend to this problem.
• Predicting Job Titles from Job Descriptions with Multi-label Text Classification
  21 Dec 2021 1 repository listed
  Finding a suitable job and hunting for eligible candidates are important to job seeking and human resource agencies.
• Extreme Zero-Shot Learning for Extreme Text Classification
  16 Dec 2021 1 repository listed
  To learn the semantic embeddings of instances and labels with raw text, we propose to pre-train Transformer-based encoders with self-supervised contrastive losses.
• Zero-Shot Cross-Lingual Transfer in Legal Domain Using Transformer Models
  28 Nov 2021 1 repository listed
  Also, Gradual unfreezing of pre-trained model's layers during training results in relative improvement of 38-45% for French and 58-70% for German.
• Co-attention network with label embedding for text classification
  4 Nov 2021 1 repository listed
  To alleviate this issue, label embedding frameworks are proposed to adopt the label-to-text attention that directly uses label information to construct the text representation for more efficient text classification.
• Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
  1 Oct 2021 1 repository listed
  Despite leveraging pre-trained transformer models for text representation, the fine-tuning procedure of transformer models on large label space still has lengthy computational time even with powerful GPUs.
• CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
  10 Sep 2021 1 repository listed
  We propose a set of metrics for hierarchical evaluation using the depth-based representation.
• Small-Text: Active Learning for Text Classification in Python
  21 Jul 2021 1 repository listed
  We introduce small-text, an easy-to-use active learning library, which offers pool-based active learning for single- and multi-label text classification in Python.
• Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
  14 Jun 2021 1 repository listed
  The digital media, identified as computational propaganda provides a pathway for propaganda to expand its reach without limit.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.