Postgraduate Course: Doing Research in Natural Language Processing (INFR11194)
This course will be closed from 31 July 2024
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This course introduces critical skills needed to do research in natural language processing: identifying research questions; proposing methods to answer research questions; and communicating results orally and in writing to a scientific audience. The course emphasizes that NLP research draws on computational, mathematical, and linguistic perspectives to research, and exposes students to the key research skills from each of these perspectives. |
| Course description |
This course introduces critical skills needed to do research in natural language processing: identifying research questions; proposing methods to answer research questions; and communicating results orally and in writing to a scientific audience. The course emphasizes that NLP research draws on computational, mathematical, and linguistic perspectives to research, and exposes students to the key research skills from each of these perspectives.
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Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Critically read, assess, and synthesize scientific literature in natural language p rocessing and related fields.
- Identify new research questions in natural language processing and propose experimental, mathematical, or engineering methods to answer them.
- Communicate research results in natural language processing orally to a scient ific audience.
- Communicate research results in natural language processing in writing to a scientific audience.
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Reading List
The course will draw on readings from:
* Zobel, Writing for Computer Science
* Williams and Colomb. Style: Towards Clarity and Grace
Additional material maybe drawn from similar sources to IRR/ IPP. |
Additional Information
| Graduate Attributes and Skills |
Students on the course will develop skills in critically reviewing, consolidating, and extending knowledge; communicating with peers, more senior colleagues, and specialists; and undertaking critical evaluations of a wide range of numerical and graphical data. |
| Special Arrangements |
Only available to students on the PhD with integrated study in Natural Language Processing. |
| Keywords | Na tural language processing,research skills |
Contacts
| Course organiser | Dr Frank Keller
Tel:
Email: Frank.Keller@ed.ac.uk |
Course secretary | Ms Lindsay Seal
Tel: (0131 6)50 5194
Email: lindsay.seal@ed.ac.uk |
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