Basic Information
This Course Teaches The Development of Natural Language Processing Methods For Exploring and Reasoning About Text As Data. The Course Will Cover The Research Cycle. Problem Definition, Data Collection, Model Design and Implementation, Experimental Design And Impllementation, Result Analaysis and Oral and Wrtten Presentation. Learning Outcomes# at The End of The Course The Studetns Will Be Able To# 1. Design New Text Based Research Problems. 2. Collect Data That Support Research On The Research Problem. 3. Design and Implement Advanced Nlp Algorithms to Solve The Research Problem. 4. Design and Implement an Experimental Setup to Evalate Their Solution to The Research Problem. 5. Analse The Results of Their Experiments and Present Their Conclusions in Both Oral and Written Manners.
Faculty: Data and Decision Sciences
|Undergraduate Studies
|Graduate Studies
Pre-required courses
97215 - Methods in Natural Language Processing or 97216 - Natural Language Processing
Semestrial Information
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Roi Reichart
Notes
-
הרישום לקורס הינו ידני, בתיאום עם המרצה בקורס: פרופ' רייכרט רועי.
-
יש לשלוח מייל עם בקשה מנומקת, בצירוף גיליון ציונים וקורות חיים.
-
בקשות ישלחו עד לתאריך 21.03.24
-
תשובות ימסרו עד לתאריך 25.03.24
Registration Groups
|
|
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Roi Reichart
Registration Groups
|
|
|
|