Text Clustering

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

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

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 38 papers with code (123 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.

• MTEB: Massive Text Embedding Benchmark
  13 Oct 2022 5 repositories listed Syntology ran 3 of 13 samples · 10 unverified
  MTEB spans 8 embedding tasks covering a total of 58 datasets and 112 languages.
• Short Text Clustering via Convolutional Neural Networks
  1 Jun 2015 3 repositories listed
• Proposition-Level Clustering for Multi-Document Summarization
  16 Dec 2021 2 repositories listed
  Text clustering methods were traditionally incorporated into multi-document summarization (MDS) as a means for coping with considerable information repetition.
• Supporting Clustering with Contrastive Learning
  24 Mar 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Unsupervised clustering aims at discovering the semantic categories of data according to some distance measured in the representation space.
• Discovering New Intents with Deep Aligned Clustering
  16 Dec 2020 2 repositories listed
  In this work, we propose an effective method, Deep Aligned Clustering, to discover new intents with the aid of the limited known intent data.
• Dissimilarity Mixture Autoencoder for Deep Clustering
  15 Jun 2020 2 repositories listed
  The dissimilarity mixture autoencoder (DMAE) is a neural network model for feature-based clustering that incorporates a flexible dissimilarity function and can be integrated into any kind of deep learning architecture.
• CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass
  1 May 2025 1 repository listed
  As a fundamental task in Information Retrieval and Computational Linguistics, sentence representation has profound implications for a wide range of practical applications such as text clustering, content analysis,…
• Reliable Pseudo-labeling via Optimal Transport with Attention for Short Text Clustering
  25 Jan 2025 1 repository listed
  By solving this OT problem, we can yield reliable pseudo-labels that simultaneously account for sample-to-sample semantic consistency and sample-to-cluster global structure information.
• Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering
  7 Jan 2025 1 repository listed
  Then, the former module uses the more discriminative consistent representation to produce reliable supervision information for assist clustering, while the latter module explores similarity relationships and consistent…
• Text Clustering as Classification with LLMs
  30 Sep 2024 1 repository listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  Second, after integrating similar labels generated by the LLM, we prompt the LLM to assign the most appropriate label to each sample in the dataset.
• NeurCAM: Interpretable Neural Clustering via Additive Models
  23 Aug 2024 1 repository listed
  Interpretable clustering algorithms aim to group similar data points while explaining the obtained groups to support knowledge discovery and pattern recognition tasks.
• Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic
  1 Aug 2024 1 repository listed
  Social media are a critical component of the information ecosystem during public health crises.
• Human-interpretable clustering of short-text using large language models
  12 May 2024 1 repository listed
  The generative LLM shows good agreement with the human reviewers, and is suggested as a means to bridge the `validation gap' which often exists between cluster production and cluster interpretation.
• More Discriminative Sentence Embeddings via Semantic Graph Smoothing
  20 Feb 2024 1 repository listed
  This paper explores an empirical approach to learn more discriminantive sentence representations in an unsupervised fashion.
• Large Language Models Enable Few-Shot Clustering
  2 Jul 2023 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  In this paper, we ask whether a large language model can amplify an expert's guidance to enable query-efficient, few-shot semi-supervised text clustering.
• ClusterLLM: Large Language Models as a Guide for Text Clustering
  24 May 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  First, we prompt ChatGPT for insights on clustering perspective by constructing hard triplet questions <does A better correspond to B than C>, where A, B and C are similar data points that belong to different clusters…
• Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering
  23 May 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  To tackle the above issues, we propose a Robust Short Text Clustering (RSTC) model to improve robustness against imbalanced and noisy data.
• Influence of various text embeddings on clustering performance in NLP
  4 May 2023 1 repository listed
  For example, a three star rating (out of five) may be incongruous with the review text, which may be more suitable for a five star review.
• DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
  2 Mar 2023 1 repository listed
  In this work, we propose DeepLens, an interactive system that helps users detect and explore OOD issues in massive text corpora.
• Very Large Language Model as a Unified Methodology of Text Mining
  19 Dec 2022 1 repository listed
  Text data mining is the process of deriving essential information from language text.
• Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases
  26 Jul 2022 1 repository listed
  Our sentence encoder can be trained in less than a day on a single graphics card, achieving high performance on a diverse set of sentence-level tasks.
• Clustering Similar Amendments at the Italian Senate
  1 Jun 2022 1 repository listed
  In this paper we describe an experiment for the application of text clustering techniques to dossiers of amendments to proposed legislation discussed in the Italian Senate.
• EASE: Entity-Aware Contrastive Learning of Sentence Embedding
  9 May 2022 1 repository listed Syntology ran 1 of 5 samples · 4 unverified
  We present EASE, a novel method for learning sentence embeddings via contrastive learning between sentences and their related entities.
• Subspace Co-clustering with Two-Way Graph Convolution
  1 Feb 2022 1 repository listed
  We first extend the concept of subspace clustering to co-clustering, which has been extensively used on document-term matrices due to the resulting interplay between the document and term representations.
• Proposition-Level Clustering for Multi-Document Summarization
  16 Jan 2022 1 repository listed
  Text clustering methods were traditionally incorporated into multi-document summarization (MDS) as a means for coping with considerable information repetition.
• Task-Oriented Clustering for Dialogues
  1 Nov 2021 1 repository listed
  A reliable clustering algorithm for task-oriented dialogues can help developer analysis and define dialogue tasks efficiently.
• Translation Transformers Rediscover Inherent Data Domains
  16 Sep 2021 1 repository listed
  Here we analyze the sentence representations learned by NMT Transformers and show that these explicitly include the information on text domains, even after only seeing the input sentences without domains labels.
• Learn The Big Picture: Representation Learning for Clustering
  1 Aug 2021 1 repository listed
  Existing supervised models for text clustering find it difficult to directly optimize for clustering results.
• Efficient Sparse Spherical k-Means for Document Clustering
  30 Jul 2021 1 repository listed
  Spherical k-Means is frequently used to cluster document collections because it performs reasonably well in many settings and is computationally efficient.
• ComStreamClust: a communicative multi-agent approach to text clustering in streaming data
  11 Oct 2020 1 repository listed
  Topic detection is the task of determining and tracking hot topics in social media.

Syntology lines on 7 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.