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 576–600 of 881 papers

TitleStatusHype
Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus—0
Topic representation: finding more representative words in topic models—0
Topic Segmentation with a Structured Topic Model—0
Topic Similarity Networks: Visual Analytics for Large Document Sets—0
Topics in Contextualised Attention Embeddings—0
Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence—0
Topic Stability over Noisy Sources—0
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs—0
TopicTiling: A Text Segmentation Algorithm based on LDA—0
topicwizard -- a Modern, Model-agnostic Framework for Topic Model Visualization and Interpretation—0
Toward a general, scaleable framework for Bayesian teaching with applications to topic models—0
Towards a Computational History of the ACL: 1980-2008—0
Towards Bayesian Deep Learning: A Framework and Some Existing Methods—0
Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models—0
Towards Evaluation of Cultural-scale Claims in Light of Topic Model Sampling Effects—0
Towards Explainable Scientific Venue Recommendations—0
Towards Improving Topic Models with the BERT-based Neural Topic Encoder—0
Towards the TopMost: A Topic Modeling System Toolkit—0
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems—0
Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study—0
Training Neural Networks for Aspect Extraction Using Descriptive Keywords Only—0
Transductive Adaptation of Black Box Predictions—0
Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014—0
Translating Bayesian Networks into Entity Relationship Models, Extended Version—0
Truncation-free Online Variational Inference for Bayesian Nonparametric 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