Natural Language Processing
| Title | Επεξεργασία Φυσικής Γλώσσας / Natural Language Processing |
| Code | DWS104 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 1st / Undergraduate, 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Grigorios Tsoumakas |
| Common | Yes |
| Status | Active |
| Course ID | 600016258 |
Programme of Study: PMS EPISTĪMĪ DEDOMENŌN KAI PAGKOSMIOU ISTOU (2018 éōs sīmera) PF
Registered students: 21
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses belonging to the selected specialization | 1 | 1 | 7.5 |
| Academic Year | 2019 – 2020 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600153648
|
Course Type 2011-2015
Knowledge Deepening / Consolidation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600153648
- eLearning (Moodle): https://elearning.auth.gr/user/index.php?id=11138
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Prerequisites
General Prerequisites
Programming
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Work in an international context
- Generate new research ideas
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Text Processing, Language Modeling with N-Grams, Text Classifiers, Vector Semantics, Neural Nets and Neural Language Models, Part-of-speech Tagging, Sequence Processing with Recurrent Networks, Information Extraction, Question Answering, Dialog Systems and Chatbots (Conversational Agents)
Keywords
Text Mining, Natural Language Processing
Educational Material Types
- Slide presentations
- Interactive excersises
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
Description
slides, interactive exercise notebooks
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 30 | ✓ | |||
| Reading Assigment | 62 | ||||
| Tutorial | 9 | ||||
| Written assigments | 62 | ||||
| Exams | 62 | ||||
| Total | 225 |
Student Assessment
Description
60% written exams, 20% each of two assignments
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Exam with Short Answer Questions (Summative)
- Written Assignment (Summative)
- Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
-
Additional bibliography for study
Daniel Jurafsky, James. H. Martin. Speech and Language Processing, 3rd Edition draft, https://web.stanford.edu/~jurafsky/slp3/
Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python, https://www.nltk.org/book/
Last Update
18-10-2018
