ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 51
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Electronics and Computing
Areas: Computer Science and Artificial Intelligence
Center Higher Polytechnic Engineering School
Call: Second Semester
Teaching: With teaching
Enrolment: Enrollable
The student who has successfully completed the course will be able to:
- Know the basic techniques for natural language processing and generation.
- Know the basic methodologies and techniques for the design, implementation and validation of an interactive conversational system.
- Know the technologies available for the implementation of conversational agents.
- Apply design techniques for natural language processing and generation.
- Apply the available technologies for the implementation of conversational agents.
- Apply the methodologies available for the evaluation of conversational agents.
- Be able to design, implement and validate natural language processing and generation systems in the context of robotic dialog systems.
- To be able to design a basic conversational agent and integrate it into a robotic system.
- To be able to use the main technologies available for the implementation of conversational agents.
The contents of this course are aimed at providing an introduction to interactive conversational systems, from a practical perspective:
1. Introduction to adaptive interactive systems.
2. Language-based interaction:
a. Natural language processing and generation.
b. Processing and generation of gestural or symbolic language.
3. Conversational agents.
4. Main technologies for the implementation of conversational agents.
5. Main methodologies and frameworks for the evaluation of conversational agents.
6. Multimodal and multidevice interaction.
Basic bibliography
Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots (Synthesis Lectures on Human Language Technologies). Michael Mctear. Morgan & Claypool publishers.2020
The conversational Interface: Talking to Smart Devices. Michael McTear, Zoraida Callejas, David Griol. Springer. 2016
Complementary bibliography
Hands-on Chatbots and Conversational UI Development: Build chatbots and voice user interfaces with Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, and Alexa Skills. Srini Janarthanam. Packt. 2017
Chatbots & Dialogue Systems, chapter 24. Speech and Language Processing. Daniel Jurafsky & James H. Martin. Copyright © 2021. All rights reserved. Draft of December 29, 2021 [https://web.stanford.edu/~jurafsky/slp3/24.pdftanford.edu)]
Knowledge:
Con90. Know the basic techniques for natural language processing and generation.
Con91. Know the basic methodologies and techniques for the design, implementation and validation of an interactive conversational system.
Con92. Know the technologies available for the implementation of conversational agents.
Skills:
H/D94. Apply design techniques for natural language processing and generation.
H/D95. Apply available technologies for the implementation of conversational agents.
H/D96. Apply available methodologies for the evaluation of conversational agents.
Competency:
Comp15. Use and implement computational learning methods in the analysis of sensory data and for decision making in robotic systems.
Comp21. Ability to design robots and intelligent systems oriented to interaction with people, and adapted to domestic and urban environments.
Lectures
Attendance at conferences or other events
Seminar
Problem solving
Presentations
Case studies; Discussions; Discussion forums
Computer classroom practices; Laboratory practices or workshops.
Field practices, technical visits to companies or administrations.
Collaborative learning
- Final Exam (Value between 10%-25% of the global grade)
- Continuous monitoring (5%-35%)
- Evaluation of practical work (10%-75%)
Working time Theory classes/Master class - 24 face-to-face hours + 48 non-face-to-face hours
Practical laboratory classes/Laboratory practicals - 12 face-to-face hours + 20 non-face-to-face hours
Supervised work/self-assessment - 0 classroom hours + Z non classroom hours
None
None
Sonia Maria Valladares Rodriguez
Coordinador/a- Department
- Electronics and Computing
- Area
- Computer Science and Artificial Intelligence
- sonia.valladares [at] usc.es
- Category
- Professor: LOU (Organic Law for Universities) PhD Assistant Professor