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

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Showing 276–300 of 881 papers

TitleStatusHype
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word EmbeddingsCode0
Context Reinforced Neural Topic Modeling over Short TextsCode0
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation—0
Better Early than Late: Fusing Topics with Word Embeddings for Neural Question Paraphrase Identification—0
Semi-Supervised Learning Approach to Discover Enterprise User Insights from Feedback and Support—0
The Sparse Hausdorff Moment Problem, with Application to Topic Models—0
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features RelateCode0
Automatic Poetry Generation from Prosaic Text—0
Neural-DINF: A Neural Network based Framework for Measuring Document Influence—0
Topic Balancing with Additive Regularization of Topic Models—0
Explainable and Discourse Topic-aware Neural Language UnderstandingCode0
Modelling Grocery Retail Topic Distributions: Evaluation, Interpretability and Stability—0
Legal-ES: A Set of Large Scale Resources for Spanish Legal Text Processing—0
Indirect Identification of Psychosocial Risks from Natural Language—0
Know thy corpus! Robust methods for digital curation of Web corporaCode0
Generalized Gumbel-Softmax Gradient Estimator for Generic Discrete Random Variables—0
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back—0
Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions—0
Constrained Relational Topic ModelsCode0
Optimal estimation of sparse topic models—0
Random-walk Based Generative Model for Classifying Document Networks—0
VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection—0
CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric ModelsCode0
Topic Extraction of Crawled Documents Collection using Correlated Topic Model in MapReduce Framework—0
Topic Models with Survival Supervision: Archetypal Analysis and Neural Approaches—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69—Unverified
2GSMC_v0.55—Unverified
3vNVDMC_v0.52—Unverified
4ETMC_v0.51—Unverified
5NSTMC_v0.38—Unverified
6ProdLDAC_v0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
2vNVDMC_v0.44—Unverified
3GSMC_v0.41—Unverified
4ETMC_v0.41—Unverified
5NSTMC_v0.37—Unverified
6ProdLDAC_v0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836—Unverified
2Bayesian SMMTest perplexity515—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24—Unverified
2TopicEqTopic Coherence@500.1—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91—Unverified