Instructors: Prof. Reut Tsarfaty, Prof. Yoav Goldberg and Prof. Ido Dagan
Emails: reut.tsarfaty/biu.ac.il; yogo/cs.biu.ac.il; dagan/cs.biu.ac.il
Offices: Building 216
Office Hours: By email appointment
Managed via Piazza
Assignment 1, Original deadline: Nov 17, Midnight. Updated deadline: Nov 19, Midnight.
Assignment 2, deadline Dec 1, Midnight.
Assignment 3, deadline Dec 22, Midgnight.
Assignment 4, deadline Jan 15, Midnight.
Students who did not yet take Machine Learning, are encouraged to read the first 3 chapters of the following Book. You are encouraged to read chapters 4 and 5 also (as well as the rest of the book, but this is not needed for our class).
Intro to Natural Language Processing, and discussion of sentence-boundary detection problem. Intro (Ido) || Intro (Reut) || Intro (Yoav) || [video]
Classification (slides) || PP-attachment and simple probabilistic modeling (slides)
|| PP attachment data python example .html .ipynb
Morphology, Parts of speech, and Tagging with HMMs slides || [video]
Sequence Segmentation and discriminative tagging. slides || video
Syntax, Grammars, Constituents slides || Dependency Syntax slides || video
Parsing Algorithms. [phrases slides] [dependencies slides] ||
Distributional Similarity. slides || Video 1 || Video 2
More Distributional Similarity (embeddings). slides || Video 1 || Video 2
Contextualized embeddings. [slides] || Relation Extraction. [slides] || Video
Representing Semantic Relationships / semantic roles slides || Video 1|| Video 2|| Video 3
Coreference Resolution. slides 1 || slides 2. Annotation. Slides || Video
Unsupervised Learning and LDA. slides || Video
Biases in Text, Ethics. main slides, "making a racist AI" .html,.ipynb, Text is predictive of demographics slides (Yanai), Bias In Text slides, Ethics slides (Yulia) || Video
About the exam, an NLP and Text Mining System. slides || Video