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Text Clustering

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보존된 평가 기록: 34

Grouping a set of texts in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters). (Source: Adapted from Wikipedia)

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AliNajafi1998/ComStream

공식 코드

ComStreamClust: a communicative multi-agent approach to text clustering in streaming data

https://github.com/Extreme-classification/DECAF

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DECAF: Deep Extreme Classification with Label Features

https://github.com/Extreme-classification/ECLARE

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ECLARE: Extreme Classification with Label Graph Correlations

https://github.com/XLearning-SCU/2022-IJCV-TCL

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Twin Contrastive Learning for Online Clustering

https://github.com/ZBWpro/CSE-SFP

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CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass

https://github.com/ajaychatterjee/IntentMining

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Intent Mining from past conversations for conversational agent

https://github.com/amazon-research/sccl

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Supporting Clustering with Contrastive Learning

https://github.com/chakib401/smoothing_sentence_embeddings

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More Discriminative Sentence Embeddings via Semantic Graph Smoothing

https://github.com/dymanne123/PLPCL

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Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery

https://github.com/ecnu-text-computing/text-clustering-via-llm

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Text Clustering as Classification with LLMs

https://github.com/elki-project/elki

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ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"

https://github.com/embeddings-benchmark/mteb

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MTEB: Massive Text Embedding Benchmark

https://github.com/hanleizhang/DeepAligned-Clustering

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Discovering New Intents with Deep Aligned Clustering

https://github.com/hmllmh/rstc

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Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering

https://github.com/jacoxu/STC2

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Self-Taught Convolutional Neural Networks for Short Text Clustering

https://github.com/johpro/esp-kmeans

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Efficient Sparse Spherical k-Means for Document Clustering

https://github.com/juselara1/dmae

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Dissimilarity Mixture Autoencoder for Deep Clustering

https://github.com/justinkmiller/biodata

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Human-interpretable clustering of short-text using large language models

https://github.com/larajuse/DMAE

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Dissimilarity Mixture Autoencoder for Deep Clustering

https://github.com/mattbierbaum/arxiv-public-datasets

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On the Use of ArXiv as a Dataset

https://github.com/momentum-lab-workspace/deeplens

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DeepLens: Interactive Out-of-distribution Data Detection in NLP Models

https://github.com/optimal-uoft/neurcam

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NeurCAM: Interpretable Neural Clustering via Additive Models

https://github.com/oriern/clusterprop

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Proposition-Level Clustering for Multi-Document Summarization

https://github.com/oriern/procluster

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Proposition-Level Clustering for Multi-Document Summarization

https://github.com/ppfliu/open-intent-discovery

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Open Intent Discovery through Unsupervised Semantic Clustering and Dependency Parsing

https://github.com/rashadulrakib/short-text-clustering-enhancement

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Enhancement of Short Text Clustering by Iterative Classification

https://github.com/sdadas/polish-sentence-evaluation

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Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases

https://github.com/simpleparadox/cmput_697_project

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Influence of various text embeddings on clustering performance in NLP

https://github.com/studio-ousia/ease

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EASE: Entity-Aware Contrastive Learning of Sentence Embedding

https://github.com/tartunlp/inherent-domains-wmt21

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Translation Transformers Rediscover Inherent Data Domains

https://github.com/thuiar/CDAC-plus

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Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement

https://github.com/thuiar/DeepAligned-Clustering

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Discovering New Intents with Deep Aligned Clustering

https://github.com/thuiar/textoir

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TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

https://github.com/thuiar/textoir-demo

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TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

https://github.com/viswavi/few-shot-clustering

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Large Language Models Enable Few-Shot Clustering

https://github.com/yzh0905/aecl-stc

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Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering

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