CURED4NLG: A Dataset for Table-to-Text Generation
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Updated
Sep 12, 2023 - PLSQL
CURED4NLG: A Dataset for Table-to-Text Generation
Code for my Master Thesis project on "Prompting Techniques for Natural Language Generation in the Medical Domain" at the University of Bologna
An LLM based tool for generation of cheese advirtisements
Codebase for the journal paper "The Rare Word Issue in Natural Language Generation: a Character-Based Solution" (Giovanni Bonetta, Marco Roberti, Rossella Cancelliere, Patrick Gallinari)
Code for IJCoL 7 Special Issue Paper - Improving Data-to-Text Generation via Preserving High-Frequency Phrases and Fact-Checking
Annotation tool for adding text labels to CSV data. Useful for data-to-text NLP tasks.
Data To Text! Your ultimate open source solution to build NLG systems.
data-to-text system based on change point detection and fuzzy set theory.
Data-to-text generation papers
This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.
[COLING22] Text-to-Text Extraction and Verbalization of Biomedical Event Graphs
⛹️Code for Learning to Select, Track, and Generate for Data-to-Text (Iso et al; ACL 2019).
Code for SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation (https://aclanthology.org/2021.inlg-1.21/) INLG 2021 Best Long Paper.
Data-to-Text generation with loosely aligned WikiBio dataset from (Lebret et al. 2016). Explicit content selection step with Multi-Instance Learning.
Code for Controlling Hallucinations at Word Level in Data-to-Text Generation (C. Rebuffel, M. Roberti, L. Soulier, G. Scoutheeten, R. Cancelliere, P. Gallinari)
TCube generates rich and fluent narratives that describes the characteristics, trends, and anomalies of any time-series data (domain-agnostic) using the transfer learning capabilities of PLMs.
🏀 Script for generating the rotowire-modified dataset (Iso et al; ACL 2019)
🧐 Code & Data for Fact-based Text Editing (Iso et al; ACL 2020)
This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.
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