Skip to content

This repository is part of my bachelor’s thesis 'Recognising Textual Entailment for Dutch using Dependency Analysis'.

License

Notifications You must be signed in to change notification settings

jasperkbos/bs-thesis-is

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Recognising Textual Entailment for Dutch using Dependency Analysis

This repository is part of my bachelor’s thesis, which concludes my Bachelor’s degree programme in Information Science at the University of Groningen.

It provides details on the data preprocessing and includes the code used for developing or training and evaluating the cosine-based, dependency-based and hybrid systems. Additionally, it offers interactive demos.

Further details are presented in the respective directories.

Installation

To replicate the systems or run the demos, please follow the steps below.

1. Clone this repository

git clone https://github.com/jasperkbos/bs-thesis-is

2. Install dependencies

The systems support Python 3.7 or later. To install all required dependencies, simply run:

cd bs-thesis-is
pip3 install -r requirements.txt

3. Download spaCy’s trained pipeline

To download the Dutch trained pipeline package, simply run:

python3 -m spacy download nl_core_news_lg

About

This repository is part of my bachelor’s thesis 'Recognising Textual Entailment for Dutch using Dependency Analysis'.

Topics

Resources

License

Stars

Watchers

Forks