The project contains implementations of topic models I have used during my thesis. Those implementations have been used for different papers.
In particular, we have proposed the sentenceLDA in the SIGIR 2016 paper : On a topic model for sentences.
In particular, we have proposed copulaLDA in the Coling 2016 paper : Modeling topic dependencies in semantically coherent text spans with copulas .
In case you use the model, please cite our paper:
@InProceedings{balikas2016sigir,
author = {Georgios Balikas and Massih-Reza Amini and Marianne Clausel},
title = {On a Topic Model for Sentences},
booktitle = {Proceedings of the 39th International {ACM} {SIGIR} conference on Research and Development in Information Retrieval, {SIGIR} 2016, Pisa, Italy, July 17-21, 2016},
pages = {921--924},
year = {2016}}
For the copulaLDA model, please also cite:
@InProceedings{balikas-EtAl:2016:COLING,
author = {Balikas, Georgios and Amoualian, Hesam and Clausel, Marianne and Gaussier, Eric and Amini, Massih R},
title = {Modeling topic dependencies in semantically coherent text spans with copulas},
booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
month = {December},
year = {2016},
address = {Osaka, Japan},
publisher = {The COLING 2016 Organizing Committee},
pages = {1767--1776},
url = {http://aclweb.org/anthology/C16-1166}
}
This is development code and may not be fully functional. That said, the code was tested with Python 2.7 and R 3.1.1 and was functional. Normally, you should be able to reproduce all the experiments reported in the papers.