aditeyabaral/maple
Implementation of the paper, MAPLE - MAsking words to generate blackout Poetry using sequence-to-sequence LEarning, ICNLSP 2021
This project helps poets, writers, and artists transform longer texts into concise blackout poetry. It takes a collection of source passages and, based on grammar rules derived from example poems, outputs a dataset of generated blackout poems. Aspiring poets, creative writers, or educators teaching creative writing would find this useful.
No commits in the last 6 months.
Use this if you want to automatically generate blackout poetry from existing texts, saving time on manually identifying and masking words.
Not ideal if you're looking for a simple, ready-to-use tool to generate a single poem without setting up a development environment or creating a custom dataset.
Stars
8
Forks
2
Language
Python
License
—
Category
Last pushed
Sep 30, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/aditeyabaral/maple"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
worldbank/REaLTabFormer
A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and...
MagedSaeed/generate-sequences
A python package made to generate sequences (greedy and beam-search) from Pytorch (not...
tlkh/t2t-tuner
Convenient Text-to-Text Training for Transformers
NohTow/PPL-MCTS
Repository for the code of the "PPL-MCTS: Constrained Textual Generation Through...
styfeng/TinyDialogues
Code & data for the EMNLP 2024 paper: Is Child-Directed Speech Effective Training Data for...