flexudy-pipe/qugeev

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6
Rank 2,539,965 (Top 51 %)
Language
Python
License
GNU General Publi...
Created about 4 years ago
Updated about 4 years ago

flexudy-pipe/qugeev

flexudy-pipe

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A simple way to evaluate question generation models

sentence-doctor

Many Natural Language Processing tasks rely on sentence boundary detection (SBD). Although amazing libraries like spacy provide state of the art SBD, they often depend on text extractors (e.g pdf text extractors or OCR). The quality of these extractors greatly influence the quality of SBD libraries and as a consequence, the performance of downstream models as well. To help address this problem, we fine-tuned a T5 model from the hugging face hub that attempts to reconstruct “broken sentences”

labely

The goal of this project is to provide an easy to use open source tool for data labelling.

neural_text_cleaner

Text quality can greatly influence the predictions of neural networks. We atempt to build a model that can do minor cleaning tasks like math, citation and title detection, which can then be masked before any further processing.