Instructors: Prof. Yoav Goldberg and Prof. Ido Dagan
Emails: yogo,dagan / cs.biu.ac.il
Offices: Building 216
Office Hours: By email appointment
Managed via Piazza
Assignment 1, deadline Nov 19, Midnight. [can submit up to Thursday, Nov 22, with 10 points penalty]
Assignment 2, deadline Dec 3, Midnight.
Assignment 3, deadline Dec 17, Midnight.
Assignment 4, deadline Jan 3, 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 (Yoav)
PP-attachment and simple probabilistic modeling (slides)
Discriminative Training (slides).
Parts of Speech (slides) (up to open vs. closed class).
Parts of speech slides (continuing from last time)
Tagging with HMMs slides
Discriminative tagging (MEMM) slides
Sequence Segmentation. slides
Syntax, Grammars, Constituents and Dependencies. slides
Distributional Similarity. slides
More Distributional Similarity (embeddings). slides
Information and Relation Extraction slides
Representing Semantic Relationships slides
Parsing Algorithms slides
Mike Collins' PCFG and CKY notes
Semantics (+ some more IE) ppt pdf
Unsupervised Learning and LDA. slides
Coreference Resolution. 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)