Главная
Study mode:
on
1
Intro
2
Methodology
3
Graphbased dependency parser
4
Contextfree grammars
5
Linguistic features
6
Feature structure
7
Constraint equations
8
Example
9
Verb Arguments
10
Verb Properties
11
Unification
12
Background Knowledge
13
Semantics
14
Model theoretic semantics
15
Formal model
16
Logic
17
Quantifiers
18
True Statements
19
Theorem Provers
20
The Problem
21
The Theme
22
Roles
23
Subcategorization Frames
24
Theme Frames
25
Diaphysis Alteration
Description:
Dive into advanced natural language processing concepts in this comprehensive lecture from CMU's CS 11-711 course. Explore dependency parsing algorithms, feature structures, and subcategorization frames. Gain insights into semantic roles, PropBank, and FrameNet. Examine the question "What is a semantic representation?" and delve into topics such as model-theoretic semantics, formal models, logic, and quantifiers. Learn about theorem provers, theme roles, and diathesis alternation. Enhance your understanding of both syntactic and semantic aspects of NLP through this in-depth presentation by Bob Frederking.

CMU Advanced NLP: Syntax and Semantics

Graham Neubig
Add to list