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Found 25 papers, 1 papers with code
Toward Discourse-Aware Models for Multilingual Fake News Detection
Statements that are intentionally misstated (or manipulated) are of considerable interest to researchers, government, security, and financial systems.
Semantically Inspired AMR Alignment for the Portuguese Language
Abstract Meaning Representation (AMR) is a graph-based semantic formalism where the nodes are concepts and edges are relations among them.
NILC at SR’20: Exploring Pre-Trained Models in Surface Realisation
This paper describes the submission by the NILC Computational Linguistics research group of the University of S ̃ao Paulo/Brazil to the English Track 2 (closed sub-track) at the Surface Realisation Shared Task 2020.
Semantic-Based Opinion Summarization
The results show that a Machine Learning-based method produced summaries of higher quality, outperforming other literature techniques on manually constructed semantic graphs.
Rhetorical Structure Approach for Online Deception Detection: A Survey
Most information is passed on in the form of language.
Evaluating Content Features and Classification Methods for Helpfulness Prediction of Online Reviews: Establishing a Benchmark for Portuguese
Over the years, the review helpfulness prediction task has been the subject of several works, but remains being a challenging issue in Natural Language Processing, as results vary a lot depending on the domain, on the adopted features and on the chosen classification strategy.
Measuring the Impact of Readability Features in Fake News Detection
The proliferation of fake news is a current issue that influences a number of important areas of society, such as politics, economy and health.
Back-Translation as Strategy to Tackle the Lack of Corpus in Natural Language Generation from Semantic Representations
This paper presents an exploratory study that aims to evaluate the usefulness of back-translation in Natural Language Generation (NLG) from semantic representations for non-English languages.
Towards a General Abstract Meaning Representation Corpus for Brazilian Portuguese
Abstract Meaning Representation (AMR) is a recent and prominent semantic representation with good acceptance and several applications in the Natural Language Processing area.
Natural Language Generation: Recently Learned Lessons, Directions for Semantic Representation-based Approaches, and the Case of Brazilian Portuguese Language
This paper presents a more recent literature review on Natural Language Generation.
NILC-SWORNEMO at the Surface Realization Shared Task: Exploring Syntax-Based Word Ordering using Neural Models
Additionally, we apply a bottom-up approach to build the sentence and, using language-specific lexicons, we produce the proper word form of each lemma in the sentence.
A Large Corpus of Product Reviews in Portuguese: Tackling Out-Of-Vocabulary Words
Web 2. 0 has allowed a never imagined communication boom.
