mnamysl

data-preparation

Code used for sourcing and cleaning the BigScience ROOTS corpus

NVFlare

NVIDIA Federated Learning Application Runtime Environment

nlp-legal-texts

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

gector

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

NL-Augmenter

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

pmc-downloader

Batch downloads full-text PDFs (or any other soruces) from PubmedCentral OA articles

tabbypdf

A tool for extracting arbitrary tables from untagged PDF documents

ICDAR2019_cTDaR

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

ctdar_measurement_tool

Evaluation Tool for the ICDAR 2019 Competition on Table Detection and Recognition

soft-gazetteers

Code and data for the paper "Soft Gazetteers for Low-resource Named Entity Recognition"