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 801–850 of 881 papers

TitleStatusHype
Diachronic Topics in New High German Poetry—0
Di-LSTM Contrast : A Deep Neural Network for Metaphor Detection—0
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification—0
Discovering Airline-Specific Business Intelligence from Online Passenger Reviews: An Unsupervised Text Analytics Approach—0
Discovering Hidden Topical Hubs and Authorities in Online Social Networks—0
Discovering Latent Structure in Task-Oriented Dialogues—0
Discovering Significant Topics from Legal Decisions with Selective Inference—0
Discovering Topics With Neural Topic Models Built From PLSA Loss—0
Discovering topics with neural topic models built from PLSA assumptions—0
Discovery of Treatments from Text Corpora—0
Discriminative Neural Topic Models—0
Discriminative Relational Topic Models—0
Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words—0
A Novel Document Generation Process for Topic Detection based on Hierarchical Latent Tree Models—0
Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion—0
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries—0
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition—0
Documents as multiple overlapping windows into grids of counts—0
Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis—0
Does the Phonology of L1 Show Up in L2 Texts?—0
"Draw My Topics": Find Desired Topics fast from large scale of Corpus—0
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models—0
Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses—0
Dynamic Language Models for Streaming Text—0
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint—0
Dynamic Topic Adaptation for SMT using Distributional Profiles—0
Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes—0
Efficient Algorithms for Sparse Moment Problems without Separation—0
Efficient Data Selection for Bilingual Terminology Extraction from Comparable Corpora—0
Efficient Learning for Undirected Topic Models—0
Efficient Methods for Incorporating Knowledge into Topic Models—0
Efficient Methods for Inferring Large Sparse Topic Hierarchies—0
Efficient Tree-Based Topic Modeling—0
Eigenvectors of Orthogonally Decomposable Functions—0
Embedded Topic Models Enhanced by Wikification—0
EMNLP versus ACL: Analyzing NLP research over time—0
Enhanced Personalized Search using Social Data—0
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs—0
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
Entity Set Expansion using Interactive Topic Information—0
Evaluating Dynamic Topic Models—0
Evaluating Joint Modeling of Yeast Biology Literature and Protein-Protein Interaction Networks—0
Evaluating topic coherence measures—0
Evaluating Topic Coherence Using Distributional Semantics—0
Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Topic Labels—0
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets—0
Evolutionary Hierarchical Dirichlet Process for Timeline Summarization—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