add k-means baseline

Author: hpasapp

README.md

@@ -2,12 +2,16 @@ Code and data for paper ["Dialog Intent Induction with Deep Multi-View Clusterin
 
 Data is available in the sub-directory [data](data), with a specific [LICENSE](data/LICENSE) file.
 
+Pre-requisites for use
+----------------------
+
+- decompress the `.bz2` files in `data`folder
+- download http://nlp.stanford.edu/data/glove.840B.300d.zip, and unzip `glove.840B.300d.txt` into `data` folder
+
 To run AV-Kmeans
 ----------------
 
-- decompress the data files in `data`folder
-- download http://nlp.stanford.edu/data/glove.840B.300d.zip, and unzip `glove.840B.300d.txt` into `data` folder
-- then run one of:
+- run one of:
 ```
 # no pre-training
 python train.py --pre-epoch 0 --data-path data/airlines_processed.csv --num-epochs 50 --view1-col first_utterance --view2-col context
@@ -19,3 +23,11 @@ python train.py --pre-model ae --pre-epoch 20 --data-path data/airlines_processe
 python train.py --pre-model qt --pre-epoch 10 --data-path data/airlines_processed.csv --num-epochs 50 --view1-col first_utterance --view2-col context
 ```
 - to train on askubuntu, replace `airlines` with `askubuntu` in the above command-lines
+
+To run k-means baseline
+-----------------------
+
+- for qt pretraining run:
+```
+python train_qt.py --data-path  data/airlines_processed.csv --pre-epoch 10 --view1-col first_utterance --view2-col context --scenarios view1
+```