Javier Vera, Hector Allende-Cid, René Venegas, Sebastián Rodríguez, Wenceslao Palma, Sofía Zamora, Fernando Lillo, Humberto González, Ashley Van Cott, Eduardo N. Fuentes

Academic writing is one of the most valuable skills a scientist can develop. A primary challenge for graduate students is to coherently and concisely organize and present ideas within a manuscript. Writing a quality research manuscript requires transmitting the most relevant information through precise sentences that fulfill diverse communicational roles, ultimately resulting in a coherent, understandable text connected by cohesive mechanisms (e.g. lexical relationships between pairs of terms). Despite technological advances, the execution and teaching of the writing process have not similarly advanced. Therefore, a top priority for graduate programs is to implement new methodologies and technologies that aid students in communicating research advances. Through our investigation, we developed a novel, unsupervised machine-learning model applied to cell biology and biomedical texts that guides students in writing better organized and more structured texts.

Javier Vera, Wenceslao Palma, Hector Allende, Sebastian Rodriguez, Juan Pavez, Eduardo Fuentes

In this work was shown how k − shell decomposition helps to understand the dynamics of the formation of the decentralized and collaborative language community defined by the electronic repository arXiv. Our results suggest that there are several global patterns that emerges from the microscopic activity of users sharing content. The growth of the collection of texts (and therefore of the associated networks) was (almost) completely governed by the outmost k −shells, which exponentially increased its size over time. Nevertheless, the size of the most dense set of nodes (Skmax ) tends to linearly increase its size. This points in the direction of the existence of an exponential accumulation of words that forces changes in the main discipline (computer science, in our case), represented by Skmax . These observations were confirmed by the behavior of the (normalized) critical index k∗ = arg maxk |Sk |, since it exponentially shifts to the outmost network layers. Further study should describe the relationship between the index k and the number of connected components of the k − shell Sk . Moreover, it is plausible to propose that the decentralized features of arXiv appear precisely at those external layers.

Brayn Díaz, Juan Pavez, Sebastian Rodríguez, Wenceslao Palma, Hector Allende-Cid, Rene Venegas, Eduardo N. Fuentes

We demonstrated the effectiveness of both the USE and BioSentVec as methods for helping users identify and improve semantic similarity between sentences in bio-medical texts. The shared tendencies between the models support sequential similarity as a metric to evaluate a text’s cohesion. With both methods outliers can be easily spotted, and then specific modifications in the sentences can be carried out depending on the type of outlier.

Eduardo N. Fuentes, Hector Allende-Cid, Sebastián Rodríguez, Rene Venegas, Juan Pavez, Wenceslao Palma, Ismael Figueroa, Sofia Zamora, Brayn Diaz, Ashley VanCott

WriteWise represents the first commercially available advanced platform that provides user's help and feedback to improve scientific papers writing. This is thanks to the development of and advance textual data representation at
different linguistic levels (e.g. words, sentences) through using cutting-edge machine-learning models and applied linguistics research.