katarinagresova / ia161

Notes, resources and homeworks from Advanced NLP course

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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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Notes, resources and homeworks from Advanced NLP course

License:MIT License


Languages

Language:GLSL 54.1%Language:Jupyter Notebook 44.1%Language:Python 1.8%