Topic Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 75 papers with code (186 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.

• Active learning in annotating micro-blogs dealing with e-reputation
  16 Jun 2017 5 repositories listed
  This paper intends to develop a so-called active learning process for automatically annotating French language tweets that deal with the image (i.
• KLUE: Korean Language Understanding Evaluation
  20 May 2021 4 repositories listed
  We introduce Korean Language Understanding Evaluation (KLUE) benchmark.
• Entailment as Few-Shot Learner
  29 Apr 2021 3 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Large pre-trained language models (LMs) have demonstrated remarkable ability as few-shot learners.
• Hierarchical Transformers for Long Document Classification
  23 Oct 2019 3 repositories listed
  BERT, which stands for Bidirectional Encoder Representations from Transformers, is a recently introduced language representation model based upon the transfer learning paradigm.
• LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
  21 Feb 2024 2 repositories listed
  Data scarcity in low-resource languages can be addressed with word-to-word translations from labeled task data in high-resource languages using bilingual lexicons.
• SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects
  14 Sep 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Despite the progress we have recorded in the last few years in multilingual natural language processing, evaluation is typically limited to a small set of languages with available datasets which excludes a large number…
• Leveraging QA Datasets to Improve Generative Data Augmentation
  25 May 2022 2 repositories listed
  The ability of generative language models (GLMs) to generate text has improved considerably in the last few years, enabling their use for generative data augmentation.
• Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
  13 Oct 2020 2 repositories listed
  Even though Variational Autoencoders (VAEs) are widely used for semi-supervised learning, the reason why they work remains unclear.
• Cross-Lingual Adaptation using Structural Correspondence Learning
  4 Aug 2010 2 repositories listed
  From these correspondences a cross-lingual representation is created that enables the transfer of classification knowledge from the source to the target language.
• A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
  17 May 2025 1 repository listed
  This work presents a large-scale human-annotated multi-task benchmark dataset for abusive language detection in Tigrinya social media with joint annotations for three tasks: abusiveness, sentiment, and topic…
• Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline
  16 May 2025 1 repository listed
  This paper presents an end-to-end suite for multilingual information extraction and processing from image-based documents.
• A thorough benchmark of automatic text classification: From traditional approaches to large language models
  2 Apr 2025 1 repository listed
  Automatic text classification (ATC) has experienced remarkable advancements in the past decade, best exemplified by recent small and large language models (SLMs and LLMs), leveraged by Transformer architectures.
• Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language models
  18 Feb 2025 1 repository listed
  Oscar Wilde said, "The difference between literature and journalism is that journalism is unreadable, and literature is not read."
• LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification
  29 Nov 2024 1 repository listed
  To address this challenge, we propose a teacher-student framework based on large language models (LLMs) for developing multilingual news classification models of reasonable size with no need for manual data annotation.
• QuickCharNet: An Efficient URL Classification Framework for Enhanced Search Engine Optimization
  22 Oct 2024 1 repository listed
  These results emphasize the significance of URLs in search engine optimization: well-named URLs enable better topic classification, increasing the likelihood of appearing on the first page of search engine results by 4.
• Inference and Verbalization Functions During In-Context Learning
  12 Oct 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  We hypothesize that LMs perform ICL with irrelevant labels via two sequential processes: an inference function that solves the task, followed by a verbalization function that maps the inferred answer to the label space.
• GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledge
  26 Sep 2024 1 repository listed
  Contextualized embeddings based on large language models (LLMs) are available for various languages, but their coverage is often limited for lower resourced languages.
• Optimal and efficient text counterfactuals using Graph Neural Networks
  4 Aug 2024 1 repository listed
  As NLP models become increasingly integral to decision-making processes, the need for explainability and interpretability has become paramount.
• Automatic Classification of News Subjects in Broadcast News: Application to a Gender Bias Representation Analysis
  19 Jul 2024 1 repository listed
  Using the generated LLM annotations, we explore the finetuning of a specialized smaller classification model, to reduce the computational cost.
• Retrieval Augmented Zero-Shot Text Classification
  21 Jun 2024 1 repository listed
  A simple approach often relies on comparing embeddings of query (text) to those of potential classes.
• Newswire: A Large-Scale Structured Database of a Century of Historical News
  13 Jun 2024 1 repository listed
  A text classifier is used to ensure that we only include newswire articles, which historically are in the public domain.
• Topic Classification of Case Law Using a Large Language Model and a New Taxonomy for UK Law: AI Insights into Summary Judgment
  21 May 2024 1 repository listed
  This paper addresses a critical gap in legal analytics by developing and applying a novel taxonomy for topic classification of summary judgment cases in the United Kingdom.
• SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
  16 May 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  It is often desirable to distill the capabilities of large language models (LLMs) into smaller student models due to compute and memory constraints.
• Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling
  1 May 2024 1 repository listed
  In this paper, we focus on addressing the issues of topic granularity and hallucinations for better LLM-based topic modelling.
• What Drives Performance in Multilingual Language Models?
  29 Apr 2024 1 repository listed
  This study investigates the factors influencing the performance of multilingual large language models (MLLMs) across diverse languages.
• L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathi
  28 Apr 2024 1 repository listed
  We conduct a comparative analysis between monolingual and multilingual BERT models, including MahaBERT, IndicBERT, and MuRIL.
• Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to Luxembourgish
  5 Apr 2024 1 repository listed
  A common method for ZSC is to fine-tune a language model on a Natural Language Inference (NLI) dataset and then use it to infer the entailment between the input document and the target labels.
• Zero-Shot Topic Classification of Column Headers: Leveraging LLMs for Metadata Enrichment
  1 Mar 2024 1 repository listed
  This work proposes a novel approach that leverages LLMs for topic classification of column headers using a controlled vocabulary, presenting a practical application of LLMs and Large Context Windows within the Semantic…
• L3Cube-IndicNews: News-based Short Text and Long Document Classification Datasets in Indic Languages
  4 Jan 2024 1 repository listed
  This research contributes significantly to expanding the pool of available text classification datasets and also makes it possible to develop topic classification models for Indian regional languages.
• DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework
  5 Dec 2023 1 repository listed
  With the growing volume of diverse information, the demand for classifying arbitrary topics has become increasingly critical.

Syntology lines on 4 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.