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 251–275 of 881 papers

TitleStatusHype
AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts AnalysisCode0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
Top2Vec: Distributed Representations of TopicsCode2
Neural Topic Model via Optimal TransportCode1
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
Hierarchical Topic Mining via Joint Spherical Tree and Text EmbeddingCode1
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
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity DetectionCode1
Neural-DINF: A Neural Network based Framework for Measuring Document Influence—0
Topic Balancing with Additive Regularization of Topic Models—0
Graph Structural-topic Neural NetworkCode1
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
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
Indirect Identification of Psychosocial Risks from Natural Language—0
Neural Topic Modeling with Bidirectional Adversarial TrainingCode1
A Gamma-Poisson Mixture Topic Model for Short TextCode1
Cross-lingual Contextualized Topic Models with Zero-shot LearningCode2
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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