SOTAVerified

Text Clustering

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)

Papers

Showing 8190 of 123 papers

TitleStatusHype
TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering0
Unification of HDP and LDA Models for Optimal Topic Clustering of Subject Specific Question Banks0
Unsupervised Feature-Rich Clustering0
Unsupervised Fine-tuning for Text Clustering0
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback0
ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models0
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks0
LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework0
LMSim : Computing Domain-specific Semantic Word Similarities Using a Language Modeling Approach0
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ST5-XXLV-Measure43.71Unverified
2MPNetV-Measure43.69Unverified
3GTR-XXLV-Measure42.42Unverified
4MiniLM-L6V-Measure42.35Unverified
5ST5-XLV-Measure42.34Unverified
6MiniLM-L12V-Measure41.81Unverified
7ST5-LargeV-Measure41.65Unverified
8GTR-LargeV-Measure41.6Unverified
9GTR-XLV-Measure41.51Unverified
10ContrieverV-Measure41.1Unverified
#ModelMetricClaimedVerifiedStatus
1G-BATAccuracy41.25Unverified
2BATAccuracy35.66Unverified
#ModelMetricClaimedVerifiedStatus
1Vector Space ModelRelated Headlines85Unverified