Lecture 19 (23/05/2019): hierarchical softmax, negative sample, GloVe, intro to WSD

Hierarchical softmax, negative sample, GloVe, intro to WSD.

Lecture 18 (17/05/2019): more on multilingual semantic vector representations. Bilingual and multilingual embeddings. intro to Word Sense Disambiguation

More on semantic vector representations. Bilingual and multilingual embeddings. Introduction to Word Sense Disambiguation.

Lecture 17 (16/05/2019): more on semantic vector representations

Semantic vector representations: importance of their multilinguality; linkage to BabelNet; latent vs. explicit representations; monolingual vs. multilingual representations. The NASARI lexical, unified and embedded representations.

Lecture 16 (09/05/2019): more on BabelNet, intro to semantic vector representations

More on BabelNet. Introduction to semantic vector representations: motivation, examples, un supervised approaches.

Lecture 15 (03/05/2019): lexical knowledge resources (WordNet, BabelNet)

Encoding word senses: paper dictionaries, thesauri, machine-readable dictionary, computational lexicons. WordNet. Brief introduction to BabelNet.

Lecture 14 (02/05/2019): introduction to computational semantics

Introduction to computational semantics. Syntax-driven semantic analysis. Semantic attachments. First-Order Logic. Lambda notation and lambda calculus for semantic representation. Lexicon, lemmas and word forms. Word senses: monosemy vs. polysemy. Special kinds of polysemy. Computational sense representations: enumeration vs. generation. Graded word sense assignment.

Lecture 13 (12/04/2019): Dependency Parsing Hands-on

Dependency parsing hands-on. A basic graph-based approach in Keras. Introduction to the attention mechanism.

Lecture 12 (11/04/2019): Q&A on homework 1

Padding and implementation details. Label design. Performance issues and tips to speed up training.

Lecture 11 (05/04/2019): syntactic parsing (2/2)

The Early algorithm. Probabilistic CFGs. Probabilistic parsing, Neural dependency parsing with LSTMs: graph-based vs. transition based. Arc-factored dependency parsing and arc-hybrid transition-based dependency parsing.

Lecture 10 (04/04/2019): syntactic parsing (1/2)

Introduction to syntax. Context-free grammars and languages. Treebanks. Normal forms. Dependency grammars. Syntactic parsing: top-down and bottom-up. Structural ambiguity.  Backtracking vs. dynamic programming for parsing. The CKY algorithm.