SOTAVerified

Topic Models

A topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for the discovery of hidden semantic structures in a text body.

Papers

Showing 676700 of 881 papers

TitleStatusHype
Learning Contextualized Music Semantics from Tags via a Siamese Network0
Learning Arbitrary Statistical Mixtures of Discrete Distributions0
Learning Mixed Membership Mallows Models from Pairwise Comparisons0
Exploiting Fine-grained Syntactic Transfer Features to Predict the Compositionality of German Particle Verbs0
Nonparametric Relational Topic Models through Dependent Gamma Processes0
On some provably correct cases of variational inference for topic models0
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery0
User Clustering in Online Advertising via Topic Models0
Autodetection and Classification of Hidden Cultural City Districts from Yelp Reviews0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment0
Sprite: Generalizing Topic Models with Structured Priors0
Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents0
Word Network Topic Model: A Simple but General Solution for Short and Imbalanced Texts0
Application of Topic Models to Judgments from Public Procurement Domain0
A Scalable Asynchronous Distributed Algorithm for Topic ModelingCode0
LightLDA: Big Topic Models on Modest Compute ClustersCode0
Spectral Methods for Supervised Topic Models0
Semantic Frame-based Statistical Approach for Topic Detection0
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs0
Learning a Concept Hierarchy from Multi-labeled Documents0
Coarse-grained Cross-lingual Alignment of Comparable Texts with Topic Models and Encyclopedic Knowledge0
Modeling Word Relatedness in Latent Dirichlet Allocation0
Model-Parallel Inference for Big Topic Models0
Eigenvectors of Orthogonally Decomposable Functions0
Exploring Temporal Patterns in Emergency Department Triage Notes with Topic Models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69Unverified
2GSMC_v0.55Unverified
3vNVDMC_v0.52Unverified
4ETMC_v0.51Unverified
5NSTMC_v0.38Unverified
6ProdLDAC_v0.35Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
2vNVDMC_v0.44Unverified
3GSMC_v0.41Unverified
4ETMC_v0.41Unverified
5NSTMC_v0.37Unverified
6ProdLDAC_v0.32Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836Unverified
2Bayesian SMMTest perplexity515Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24Unverified
2TopicEqTopic Coherence@500.1Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91Unverified