ia161's Introduction

Advanced NLP course

Notes, resources and homeworks from Advanced NLP course.

This repository contains my personal notes, resources and homeworks from Advanced NLP course (FI:IA161) taught at the Faculty of Informatics, Masaryk University during fall semester 2021/2022. Official materials can be found on course website.

Learning outcomes

explain a selected NLP problem and list its main aspects;
implement a basic or intermediate application for complex tasks in language processing, typically for Czech, Slovak, or English;
create data resources (models, test sets) for a selected NLP problem and evaluate their assets;
compare selected available tools for complex NLP tasks and apply them to chosen data resources with possible adaptations to particular purposes.

Syllabus

Topic
Opinion mining, sentiment analysis	notes	practical session
Language modelling	notes	practical session
Stylometry	notes	-
Named Entity Recognition	notes	practical session
Indexing and Searching Very Large Texts	notes	-
Topic identification, topic modelling	notes	-
Building Language Resources from the Web	notes	practical session
Parsing of Czech: Between Rules and Stats	notes	-
Machine translation	notes	practical session
Automatic relation extraction	notes	practical session
Extracting structured information from text	notes	-

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