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 301–325 of 881 papers

TitleStatusHype
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process—0
A Geometrical Approach to Topic Model Estimation—0
Active Learning with Constrained Topic Model—0
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification—0
Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data—0
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection—0
A Topic Similarity Model for Hierarchical Phrase-based Translation—0
An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures—0
Diachronic Topics in New High German Poetry—0
Developing a Curated Topic Model for COVID-19 Medical Research Literature—0
ATM:Adversarial-neural Topic Model—0
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms—0
Detecting Sarcasm Using Different Forms Of Incongruity—0
Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narratives—0
Detecting Highly Confident Word Translations from Comparable Corpora without Any Prior Knowledge—0
Asynchronous Distributed Learning of Topic Models—0
An Automatic Approach for Document-level Topic Model Evaluation—0
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery—0
Deep Topic Models for Multi-label Learning—0
Deep topic modeling by multilayer bootstrap network and lasso—0
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time—0
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization—0
Analyzing Framing through the Casts of Characters in the News—0
A General Method for Robust Bayesian Modeling—0
A Computationally Efficient Algorithm for Learning Topical Collocation Models—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