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, deadline Dec 2, Midnight.
Assignment 2, deadline Dec 19, Midnight.
Assignment 3, deadline Dec 31, Midnight.
Students who do not take the Machine Learning course can 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)
PP-attachment and simple probabilistic modeling (slides)
|| PP attachment data python example .html .ipynb
Discriminative Training (slides).
Morphology, Parts of speech, and Tagging with HMMs slides
Sequence Segmentation and discriminative tagging. slides
Syntax, Grammars, Constituents slides
Phrase Structure Parsing. slides
Dependency Parsing and Algorithms slides
Distributional Similarity. slides
More Distributional Similarity (embeddings). slides
Representing Semantic Relationships slides
Information and Relation Extraction slides
Semantics (+ some more IE) ppt pdf
Coreference Resolution. slides
Unsupervised Learning and LDA. slides
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)