Search Results for author:
Found 28 papers, 1 papers with code
BRATECA (Brazilian Tertiary Care Dataset): a Clinical Information Dataset for the Portuguese Language
Computational medicine research requires clinical data for training and testing purposes, so the development of datasets composed of real hospital data is of utmost importance in this field.
Related Named Entities Classification in the Economic-Financial Context
The results of the experiments show an accuracy of 86% of the predictions.
Dynamic Preference Logic meets Iterated Belief Change: Representation Results and Postulates Characterization
Recently, several logics for belief and information change have been proposed in the literature and used to encode belief change operations in rich and expressive semantic frameworks.
A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals
In this work we used 121, 089 medical encounters from six different hospitals and 7, 540, 389 data points, and we compared popular ward protocols with six different scalable machine learning methods (three are classic machine learning models, logistic and probabilistic-based models, and three gradient boosted models).
Embeddings for Named Entity Recognition in Geoscience Portuguese Literature
Finally, we achieved state-of-the-art results for this domain with one of our embeddings, and we performed an error analysis on the language model that achieved the best results.
Word Embedding Evaluation in Downstream Tasks and Semantic Analogies
Language Models have long been a prolific area of study in the field of Natural Language Processing (NLP).
Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach
This work investigates how priority graphs, a syntactic representation of preference relations deeply connected to prioritised bases, can be used to characterise belief change operators, focusing on well-known postulates of Iterated Belief Change.
Evaluating the Complementarity of Taxonomic Relation Extraction Methods Across Different Languages
The automatic construction of concept hierarchies from texts is a complex task and much work have been proposing approaches to better extract relations between concepts.
PLN-PUCRS at EmoInt-2017: Psycholinguistic features for emotion intensity prediction in tweets
Linguistic Inquiry and Word Count (LIWC) is a rich dictionary that map words into several psychological categories such as Affective, Social, Cognitive, Perceptual and Biological processes.
Adapting an Entity Centric Model for Portuguese Coreference Resolution
This paper presents the adaptation of an Entity Centric Model for Portuguese coreference resolution, considering 10 named entity categories.
A Sequence Model Approach to Relation Extraction in Portuguese
The task of Relation Extraction from texts is one of the main challenges in the area of Information Extraction, considering the required linguistic knowledge and the sophistication of the language processing techniques employed.
Summ-it++: an Enriched Version of the Summ-it Corpus
This paper presents Summ-it++, an enriched version the Summ-it corpus.
Building Domain Specific Bilingual Dictionaries
This paper proposes a method to build bilingual dictionaries for specific domains defined by a parallel corpora.
VOAR: A Visual and Integrated Ontology Alignment Environment
From two input ontologies, this process generates an alignment (set of correspondences) between them.
Comparative Analysis of Portuguese Named Entities Recognition Tools
This paper describes an experiment to compare four tools to recognize named entities in Portuguese texts.
Corpus+WordNet thesaurus generation for ontology enriching
For these seeds similar terms are extracted from the corpus using known thesaurus generation methods.
A Fast, Memory Efficient, Scalable and Multilingual Dictionary Retriever
This paper presents a novel approach to deal with dictionary retrieval.
