Skip to content
/ NLPCC2018_Multi_Turn_Response_Selection Public

NLPCC2018 sub-task 2 of task 5, we propose RCMN model for multi-turn response selection.

License

MIT license
7 stars 4 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

jimth001/NLPCC2018_Multi_Turn_Response_Selection

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits

.gitignore

.gitignore

 
 

Evaluate.py

Evaluate.py

 
 

LICENSE

LICENSE

 
 

Layers.py

Layers.py

 
 

Preprocess.py

Preprocess.py

 
 

RCMN_and_SMN.py

RCMN_and_SMN.py

 
 

README.md

README.md

 
 

Response Selection of Multi-turn Conversation with Deep Neural Networks--Camera-Ready.pdf

Response Selection of Multi-turn Conversation with Deep Neural Networks--Camera-Ready.pdf

 
 

Test.py

Test.py

 
 

Tokenizer.py

Tokenizer.py

 
 

WordDictionary.py

WordDictionary.py

 
 

preprocess_for_test_nlpcc2018.py

preprocess_for_test_nlpcc2018.py

 
 

utils.py

utils.py

 
 

Repository files navigation

NLPCC2018_Multi_Turn_Response_Selection

NLPCC2018 sub-task 2 of task 5

This is our solution for sub-task2 of NLPCC2018 shared task 5. We finally take the 2nd place.

About

NLPCC2018 sub-task 2 of task 5, we propose RCMN model for multi-turn response selection.

Topics

text-matching response-selection nlpcc-2018 multi-turn-dialogue rcmn

Resources

Readme

License

MIT license
Activity

Stars

7 stars

Watchers

3 watching

Forks

4 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages