topic model

Pulling Out the Stops: Rethinking Stopword Removal for Topic Models EACL 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization IJCAI 2017 Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling ACL 2017 Topically Driven Neural Language Model ACL 2017 Automatic Labelling of Topics with Neural Embeddings COLING 2016 Diagnostic Prediction Using Discomfort Drawings with IBTM MLHC 2016 Exploring Topic Discriminating Power of Words in Latent Dirichlet Allocation COLING 2016 Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016 Fast Inference for Interactive Models of Text COLING 2016 Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model ACML 2016 Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs COLING 2016 Modeling topic dependencies in semantically coherent text spans with copulas COLING 2016 Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics NeurIPS 2016 Provable Algorithms for Inference in Topic Models ICML 2016 Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis COLING 2016 Stochastic Gradient Geodesic MCMC Methods NeurIPS 2016 A Topic Modeling Approach to Ranking AISTATS 2015 Deep Poisson Factor Modeling NeurIPS 2015 End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NeurIPS 2015 Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial NeurIPS 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NeurIPS 2015 Large-scale Distributed Dependent Nonparametric Trees ICML 2015 Latent feature regression for multivariate count data AISTATS 2015 Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models ICML 2015