- nltk
- pandas
- sqlite3
- sklearn
- pandasql
Clone the repository, then run sium_test.py
Unfortunately, I don't have command line arguments, but it's easy to integrate into your own python script. Refer to sium_test.py
for an example.
@article{KENNINGTON201743,
title = "A simple generative model of incremental reference resolution for situated dialogue",
journal = "Computer Speech & Language",
volume = "41",
pages = "43 - 67",
year = "2017",
issn = "0885-2308",
doi = "https://doi.org/10.1016/j.csl.2016.04.002",
url = "http://www.sciencedirect.com/science/article/pii/S0885230815300127",
author = "Casey Kennington and David Schlangen",
keywords = "Dialogue, Situated, Incremental, Stochastic, Reference resolution"
}
@inproceedings{Kennington2013a,
author = {Kennington, Casey and Kousidis, Spyros and Schlangen, David},
booktitle = {SIGdial 2013},
title = {{Interpreting Situated Dialogue Utterances: an Update Model that Uses Speech, Gaze, and Gesture Information}},
year = {2013}
}