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 701–725 of 881 papers

TitleStatusHype
Rethinking LDA: Why Priors Matter—0
Rethinking Topic Modelling: From Document-Space to Term-Space—0
Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities—0
Review Topic Discovery with Phrases using the P\'olya Urn Model—0
RevUP: Automatic Gap-Fill Question Generation from Educational Texts—0
Robust Transliteration Mining from Comparable Corpora with Bilingual Topic Models—0
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs—0
Scalable Inference for Logistic-Normal Topic Models—0
Scalable Inference for Nested Chinese Restaurant Process Topic Models—0
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums—0
Scalable Topical Phrase Mining from Text Corpora—0
Scaling laws and fluctuations in the statistics of word frequencies—0
Self-Supervised Neural Topic Modeling—0
Semantic classifications for detection of verb metaphors—0
Semantic Frame-based Statistical Approach for Topic Detection—0
Semi-Supervised Learning Approach to Discover Enterprise User Insights from Feedback and Support—0
Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression—0
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social MediaCode0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet AllocationCode0
Reinforcement Learning for Topic ModelsCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
Evaluating Negative Sampling Approaches for Neural Topic ModelsCode0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text SpatializationCode0
Neural Models for Documents with MetadataCode0
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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