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 551–600 of 881 papers

TitleStatusHype
Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling—0
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes—0
Stochastic Matrix Factorization—0
Ask the GRU: Multi-Task Learning for Deep Text Recommendations—0
Towards Bayesian Deep Learning: A Framework and Some Existing Methods—0
A Geometrical Approach to Topic Model Estimation—0
Viewpoint and Topic Modeling of Current Events—0
An Analysis of Lemmatization on Topic Models of Morphologically Rich Language—0
Bilingual Segmented Topic Model—0
Generative Topic Embedding: a Continuous Representation of DocumentsCode0
Hidden Softmax Sequence Model for Dialogue Structure Analysis—0
Topic Extraction from Microblog Posts Using Conversation Structures—0
Automatic Labeling of Topic Models Using Text Summaries—0
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings—0
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing—0
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling—0
Discovery of Treatments from Text Corpora—0
Improving Topic Model Clustering of Newspaper Comments for Summarisation—0
Vector-space topic models for detecting Alzheimer's disease—0
Together we stand: Siamese Networks for Similar Question Retrieval—0
Collective Entity Resolution with Multi-Focal Attention—0
Unsupervised Document Classification with Informed Topic Models—0
Semantic classifications for detection of verb metaphors—0
A Novel Measure for Coherence in Statistical Topic Models—0
A Domain Adaptation Regularization for Denoising Autoencoders—0
Labeling Topics with Images using Neural Networks—0
Accounting ngrams and multi-word terms can improve topic models—0
Transductive Adaptation of Black Box Predictions—0
Translating Bayesian Networks into Entity Relationship Models, Extended Version—0
Summarizing Decisions in Spoken Meetings—0
Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings—0
Source-LDA: Enhancing probabilistic topic models using prior knowledge sourcesCode0
Token-Level Metaphor Detection using Neural Networks—0
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features—0
Clustering for Simultaneous Extraction of Aspects and Features from Reviews—0
The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health—0
Bootstrapping Translation Detection and Sentence Extraction from Comparable Corpora—0
On a Topic Model for SentencesCode0
Online Multilingual Topic Models with Multi-Level Hyperpriors—0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—0
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks—0
Spectral Methods for Correlated Topic Models—0
Provable Algorithms for Inference in Topic Models—0
Toward a general, scaleable framework for Bayesian teaching with applications to topic models—0
Computing Web-scale Topic Models using an Asynchronous Parameter ServerCode0
Latent Tree Models for Hierarchical Topic DetectionCode0
Inter-Battery Topic Representation Learning—0
Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vecCode0
That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models—0
Entities as topic labels: Improving topic interpretability and evaluability combining Entity Linking and Labeled LDA—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