tschomacker

formulae-capitains-nemo

This is the class extension "NemoFormulae" for flask_nemo (https://github.com/Capitains/flask-capitains-nemo).

statements

aligned-narrative-documents

A collection of scripts to create a Document-aligned corpus of German Narrative Texts from four different sources of Simple Language Texts and three different sources of Standard Language Texts.

BertSum

A fork of BertSum which uses Stanford Stanza for tokenizing. This makes it possible to tokenize a big variety of languages.

churchtools-birthdays

Simple tool for automatically sending a list of people which had their birthdays within the last week generated from a churchtools database

draft

fake-news-detection-bot

generalizing-passages-identification-bert

Automatic Identification of Generalizing Passages in German Fictional Texts using BERT with Monolingual and Multilingual Training Data

germeval.github.io

tschomacker/aligned-narrative-documents

A collection of scripts to create a Document-aligned corpus of German Narrative Texts from four different sources of Simple Language Texts and three different sources of Standard Language Texts.

tschomacker/BertSum

A fork of BertSum which uses Stanford Stanza for tokenizing. This makes it possible to tokenize a big variety of languages.

tschomacker/churchtools-birthdays

Simple tool for automatically sending a list of people which had their birthdays within the last week generated from a churchtools database

tschomacker/draft

tschomacker/fake-news-detection-bot

tschomacker/generalizing-passages-identification-bert

Automatic Identification of Generalizing Passages in German Fictional Texts using BERT with Monolingual and Multilingual Training Data

tschomacker/germeval.github.io

tschomacker/longmbart-1

tschomacker/news-scraper

A program for downloading online articles and saving it in a SQLLite database.

tschomacker/pyrouge-first-use

First Use of Rouge 1.5.5 / pyrouge in Python

tschomacker/textgrid-domain-adaptation-dataset

A small script to mask textrgrid texts sentence by sentence and combine them into one dataset. This dataset can be used for masked language modeling and thus for pre-training and domain adaptation.

tschomacker/tschomacker