Using Chatbots to Assist Communication in Collaborative Networks: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings

Using Chatbots to Assist Communication in
Collaborative Networks
Christian Frommert, Anna Häfner, Julia Friedrich and Christian Zinke

About
Dr. Christian Zinke - zinke@infai.org | sbdigital.infai.org
Working Group ET: Efficient Technology Integration
Datafrom to Solution
CC – Siwat V - https://www.iconfinder.com/icons/2377629/business_computer_devices_mobile_phone_responsive_technology_icon
Smart Processes & Services
Digital Platforms
Knowledge Integration/Engineering

(1) Give an overview of current chatbot engines and their states
(2) Design a solution for better interaction and knowledge exchange
(3) Implement a chatbot into use-cases to demonstrate the benefits
Goals

Enterprise Social Networks,
Natural Language Processing
and Chatbots

Social networks in enterprises
Web-based platform which
allow user to contribute
persistent objects to a
shared pool
Enterprise
Social Network
Leonardi, Huysman et al. 2013 – Enterprise Social Media

Social networks in enterprises
Collabor
ation
Communica
tion
Messenger
Task
Management
Document
Management
Enterprise
Social Network

NLP (Natural Language Processing)

“is a theory-motivate rang of
computational techniques for
automatic analysis and
representation of human language”
NLP
Cambria, E., White, B.: Jumping NLP Curves. A Review of Natural Language
Processing Research [Review Article]. IEEE Comput. Intell. Mag. (2014). doi:
10.1109/MCI.2014.2307227
NLU – Natural Language
Understanding

“is a theory-motivate rang of
computational techniques for
automatic analysis and
representation of human language”
NLP
Understanding
NLG – Natural Language
Generation

Understanding
Classification of the input
(Intention)
Extraction of variables
(Entities)
Tools: : Spacy, MITIE,
Duckling

Chatbots

Chatbots
Is a text-based software system
that interact with human users
in their natural language and
make decisions based on
predefined rules
Chatbot
Shawar, B.A., Atwell, E.: Different Measurements Metrics to Evaluate a Chatbot System. In: Proceedings of the
Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies, pp. 89–96.
Association for Computational Linguistics, Stroudsburg, PA, USA (2007)

Chatbot
CC GPL v2 Iconfinder ApS: https://www.iconfinder.com/iconfinder
Input
Output
Analyse
Context
Action
Chatbots

In a nutshell

Summery
Enterprise
Social
Networks
NLPGiven Tasks
Chatbot
Understand
Support

Chatbots
On Premise?
Open Source?
Plugins?
API?
NLU?
Context
sensitive?

Overview
21 chatbots are evaluated
Deeper analysis on on-
premise and interoperable
Open Source Solutions
(10)

The daily struggle: arrange a meeting
inefficient
time-consuming
annoying

From chatbot to ESN – the architecture
Rasahub, https://github.com/DServSys/Rasahub
Rasahub Humhub (ESN)Rasa_Core
Rasa_NLU Google Calendar
Bot answer
SQL Insert
User Message
Data from Calendar
SQL Select
Bot answer
Socket
User Message
Data
Socket
Data from Calendar
API
User Message
Intents
Entities

Train the model – conversation flow

Train the model
## intent:inform_calendar
* please make an appointment on [Wednesday](day)
* please make an appointment on [Friday](day)
* find an appointment on [Thursday](day)
* find an appointment on [Monday](day)
* is there a free date on [Friday](day)
* is there a free date on [Monday](day)
* please make an appointment on [Tuesday](day) for
[10 minutes](duration:10)
* find appointment on [Thursday](day) for [10
minutes](duration:10)
## Generated Story -908337105314369877
* inform_calendar{"day": "heute", "time": "2018-01-
04T00:00:00.000Z"}
- action_extract_calendarinfo
- slot{"lastBotUtterance": "utter_ask_duration"}
- slot{"extractedDayFrom": "2018-01-
04T00:00:00.000Z"}
- slot{"timeValid": "True"}
* inform_calendar{"duration": 1.0}
- action_extract_calendarinfo
- slot{"lastBotUtterance": "utter_ask_participants"}
- slot{"extractedDuration": "60"}
- slot{"durationValid": "True"}

Definitions

Prove of concept
Calendar Chat
Partner 2
Calendar Chat
Partner 1
Conversation with
the bot New Calendar Chat
Partner 2
Finale meeting
arrangement

Thank you
Christian Zinke
zinke@infai.org
sbdigital.infai.org
The German Federal Ministry of Education and Research have funded the work leading
to this publication under grant number 02L15A070 (Project: SB:Digital). The
authors thank for the funding

Using Chatbots to Assist Communication in Collaborative Networks: 19th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2018, Cardiff, UK, September 17-19, 2018, Proceedings

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