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 326–350 of 881 papers

TitleStatusHype
Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations—0
Grammars and Topic Models—0
A Method of Accounting Bigrams in Topic Models—0
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records—0
Advice from the Oracle: Really Intelligent Information Retrieval—0
Exploiting Fine-grained Syntactic Transfer Features to Predict the Compositionality of German Particle Verbs—0
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization—0
Growing Multi-Domain Glossaries from a Few Seeds using Probabilistic Topic Models—0
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment—0
Exploiting Domain Knowledge in Aspect Extraction—0
Hashtag Recommendation with Topical Attention-Based LSTM—0
Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data—0
Helping users discover perspectives: Enhancing opinion mining with joint topic models—0
Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora—0
Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers—0
Hidden Softmax Sequence Model for Dialogue Structure Analysis—0
Hiearchie: Visualization for Hierarchical Topic Models—0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors—0
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer—0
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity—0
Expertise Mining for Enterprise Content Management—0
Hierarchical Topic Presence Models—0
Historia Magistra Vitae: Dynamic Topic Modeling of Roman Literature using Neural Embeddings—0
Conversational Structure Aware and Context Sensitive Topic Model for Online Discussions—0
A Joint Model of Conversational Discourse Latent Topics on Microblogs—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