Progressive EM for Latent Tree Models and Hierarchical Topic Detection
Authors: Peixian Chen, Nevin Zhang, Leonard Poon, Zhourong Chen
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Empirical experiments show that our method greatly improves the efficiency of HLTA. It is as efficient as the state-of-the-art LDA-based method for hierarchical topic detection and finds substantially better topics and topic hierarchies. We tested the idea on the New York Times dataset4, which consists of 300,000 articles. |
| Researcher Affiliation | Academia | The Hong Kong University of Science and Technology {pchenac,lzhang,zchenbb@cse.ust.hk} The Hong Kong Institute of Education{kmpoon@ied.edu.hk} |
| Pseudocode | Yes | Algorithm 1 PEM-HLTA(D, τ, δ, κ) |
| Open Source Code | No | The paper provides a link for the HLTA algorithm (prior work) but does not state that the code for the method described in this paper (PEM-HLTA) is open-source or provide a link for it. |
| Open Datasets | Yes | Two of the datasets used are NIPS1 and Newsgroup2. 1http://www.cs.nyu.edu/ roweis/data.html 2http://qwone.com/jason/20Newsgroups/ We tested the idea on the New York Times dataset4, which consists of 300,000 articles. 4http://archive.ics.uci.edu/ml/datasets/Bag+of+Words |
| Dataset Splits | No | Each dataset was randomly partitioned into a training set with 80% of the data, and a test set with the 20% left. (No explicit mention of a separate validation set for hyperparameter tuning.) |
| Hardware Specification | No | All experiments are conducted on the same desktop computer. (No specific hardware details like CPU, GPU, or memory are provided.) |
| Software Dependencies | No | PEM-HLTA is implemented in Java. (No specific version numbers for Java or any other software dependencies are provided.) |
| Experiment Setup | Yes | In our experiments, we set κ = 50. Based on the cut-off values for the Bayes factor, we set δ = 3 in our experiments. |