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
Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora—0
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning—0
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings—0
Entities as topic labels: Improving topic interpretability and evaluability combining Entity Linking and Labeled LDA—0
Application of Topic Models to Judgments from Public Procurement Domain—0
Combinatorial Topic Models using Small-Variance Asymptotics—0
Collective Entity Resolution with Multi-Focal Attention—0
Application of Rényi and Tsallis Entropies to Topic Modeling Optimization—0
Accounting ngrams and multi-word terms can improve topic models—0
Application of Natural Language Processing to Determine User Satisfaction in Public Services—0
Coarse-grained Cross-lingual Alignment of Comparable Texts with Topic Models and Encyclopedic Knowledge—0
Factorized Topic Models—0
Clustering for Simultaneous Extraction of Aspects and Features from Reviews—0
Apples to Oranges: Evaluating Image Annotations from Natural Language Processing Systems—0
A Domain Adaptation Regularization for Denoising Autoencoders—0
Fast Inference for Interactive Models of Text—0
Fast Learning of Clusters and Topics via Sparse Posteriors—0
Federated Variational Inference Methods for Structured Latent Variable Models—0
Classifying Frames at the Sentence Level in News Articles—0
Chronic Pain and Language: A Topic Modelling Approach to Personal Pain Descriptions—0
CFTM: Continuous time fractional topic model—0
A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes—0
A Joint Model of Conversational Discourse and Latent Topics on Microblogs—0
Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach—0
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs—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