AI Chat AI Image Generator AI Video Text to Speech

BLAB Reporter: Automated journalism covering the Blue Amazon

10/08/2022

∙

by Yan V. Sym, et al.

∙

∙

This demo paper introduces the BLAB Reporter, a robot-journalist covering the Brazilian Blue Amazon. The Reporter is based on a pipeline architecture for Natural Language Generation; it offers daily reports, news summaries and curious facts in Brazilian Portuguese. By collecting, storing and analysing structured data from publicly available sources, the robot-journalist uses domain knowledge to generate and publish texts in Twitter. Code and corpus are publicly available

Yan V. Sym
3 publications
João Gabriel M. Campos
2 publications
Fabio G. Cozman
9 publications

research

∙ 10/08/2022

Comparing Computational Architectures for Automated Journalism

The majority of NLG systems have been designed following either a templa...

0 Yan V. Sym, et al. ∙

research

∙ 07/13/2023

Generating Benchmarks for Factuality Evaluation of Language Models

Before deploying a language model (LM) within a given domain, it is impo...

0 Dor Muhlgay, et al. ∙

research

∙ 03/09/2020

A Multi-Source Entity-Level Sentiment Corpus for the Financial Domain: The FinLin Corpus

We introduce FinLin, a novel corpus containing investor reports, company...

0 Tobias Daudert, et al. ∙

research

∙ 01/13/2022

Transforming UNL graphs in OWL representations

Extracting formal knowledge (ontologies) from natural language is a chal...

0 David Rouquet, et al. ∙

research

∙ 01/26/2021

A Digital Corpus of St. Lawrence Island Yupik

St. Lawrence Island Yupik (ISO 639-3: ess) is an endangered polysyntheti...

0 Lane Schwartz, et al. ∙

research

∙ 10/31/2018

Generating Texts with Integer Linear Programming

Concept-to-text generation typically employs a pipeline architecture, wh...

0 Gerasimos Lampouras, et al. ∙

research

∙ 05/05/2021

Comparative Analysis of Box-Covering Algorithms for Fractal Networks

Research on fractal networks is a dynamically growing field of network s...

0 Péter Tamás Kovács, et al. ∙